AI emerging technologies in Ireland are transforming industries, offering innovative solutions across sectors like healthcare, finance, and agriculture. With a focus on machine learning, natural language processing, and robotics, companies are leveraging AI to enhance productivity and efficiency. Ireland's tech ecosystem is thriving, supported by government initiatives and a skilled workforce.14 AI & Emerging Technologies jobs in Ireland
IBM-Trinity College PhD in Artificial Intelligence
Dublin, Leinster
IBM
Posted today
Job Viewed
Job Description
**Introduction**
We are delighted to offer an opening for a 4-year paid (salary + full fees) PhD position in the area of artificial intelligence (AI) as part of an ongoing initiative between IBM Research and Trinity College Dublin (Trinity). You will be employed by IBM Research Dublin and registered for a PhD at Trinity College Dublin (School of Engineering) with supervision from Trinity faculty and IBM staff.
The selected student is expected to work on the ECOTWIN Horizon Europe project on advancing generalisable digital-twin methods. Focus areas include knowledge- and causal-graph-grounded LLM agents tightly integrated with complex simulators and data-driven models. The aim is trustworthy, decision-grade planning across domains.
**Your role and responsibilities**
Example research directions:
-Design LLM agents whose planning and tool-use are guided/guardrailed by expert-defined or discovered knowledge graphs - either augmenting discovered relations with LLMs or constraining retrieval, reasoning and action selection via the KG.
-Couple LLM agents to complex simulators and data-driven models: propose scenarios, generate code/parameters, call surrogates, and trigger high-fidelity runs when warranted.
-Develop an evaluation harness and metrics beyond standard NLP (e.g., causal consistency, goal-directed planning under KG constraints, sample efficiency, robustness to shift, cost/latency).
-Release a reproducible benchmark suite and, where feasible, a public challenge.
-Leverage simulation-derived synthetic data and retrieval-augmented generation; explore alignment (preference optimisation / lightweight RL) with causal/KG-aware reward signals.
The selected student will be employed by IBM and be a registered PhD student at Trinity, resulting in the following benefits:
-Access to resources and expertise both at IBM Research and Trinity
-Research experience in both private and public sectors
-A substantial PhD Salary
-Full Trinity PhD programme fees paid
**Required technical and professional expertise**
Example research directions:
-Design LLM agents whose planning and tool-use are guided/guardrailed by expert-defined or discovered knowledge graphs - either augmenting discovered relations with LLMs or constraining retrieval, reasoning and action selection via the KG.
-Couple LLM agents to complex simulators and data-driven models: propose scenarios, generate code/parameters, call surrogates, and trigger high-fidelity runs when warranted.
-Develop an evaluation harness and metrics beyond standard NLP (e.g., causal consistency, goal-directed planning under KG constraints, sample efficiency, robustness to shift, cost/latency).
-Release a reproducible benchmark suite and, where feasible, a public challenge.
-Leverage simulation-derived synthetic data and retrieval-augmented generation; explore alignment (preference optimisation / lightweight RL) with causal/KG-aware reward signals.
The selected student will be employed by IBM and be a registered PhD student at Trinity, resulting in the following benefits:
-Access to resources and expertise both at IBM Research and Trinity
-Research experience in both private and public sectors
-A substantial PhD Salary
-Full Trinity PhD programme fees paid
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
We are delighted to offer an opening for a 4-year paid (salary + full fees) PhD position in the area of artificial intelligence (AI) as part of an ongoing initiative between IBM Research and Trinity College Dublin (Trinity). You will be employed by IBM Research Dublin and registered for a PhD at Trinity College Dublin (School of Engineering) with supervision from Trinity faculty and IBM staff.
The selected student is expected to work on the ECOTWIN Horizon Europe project on advancing generalisable digital-twin methods. Focus areas include knowledge- and causal-graph-grounded LLM agents tightly integrated with complex simulators and data-driven models. The aim is trustworthy, decision-grade planning across domains.
**Your role and responsibilities**
Example research directions:
-Design LLM agents whose planning and tool-use are guided/guardrailed by expert-defined or discovered knowledge graphs - either augmenting discovered relations with LLMs or constraining retrieval, reasoning and action selection via the KG.
-Couple LLM agents to complex simulators and data-driven models: propose scenarios, generate code/parameters, call surrogates, and trigger high-fidelity runs when warranted.
-Develop an evaluation harness and metrics beyond standard NLP (e.g., causal consistency, goal-directed planning under KG constraints, sample efficiency, robustness to shift, cost/latency).
-Release a reproducible benchmark suite and, where feasible, a public challenge.
-Leverage simulation-derived synthetic data and retrieval-augmented generation; explore alignment (preference optimisation / lightweight RL) with causal/KG-aware reward signals.
The selected student will be employed by IBM and be a registered PhD student at Trinity, resulting in the following benefits:
-Access to resources and expertise both at IBM Research and Trinity
-Research experience in both private and public sectors
-A substantial PhD Salary
-Full Trinity PhD programme fees paid
**Required technical and professional expertise**
Example research directions:
-Design LLM agents whose planning and tool-use are guided/guardrailed by expert-defined or discovered knowledge graphs - either augmenting discovered relations with LLMs or constraining retrieval, reasoning and action selection via the KG.
-Couple LLM agents to complex simulators and data-driven models: propose scenarios, generate code/parameters, call surrogates, and trigger high-fidelity runs when warranted.
-Develop an evaluation harness and metrics beyond standard NLP (e.g., causal consistency, goal-directed planning under KG constraints, sample efficiency, robustness to shift, cost/latency).
-Release a reproducible benchmark suite and, where feasible, a public challenge.
-Leverage simulation-derived synthetic data and retrieval-augmented generation; explore alignment (preference optimisation / lightweight RL) with causal/KG-aware reward signals.
The selected student will be employed by IBM and be a registered PhD student at Trinity, resulting in the following benefits:
-Access to resources and expertise both at IBM Research and Trinity
-Research experience in both private and public sectors
-A substantial PhD Salary
-Full Trinity PhD programme fees paid
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
0
Lead AI/ML Engineer
Dublin, Leinster
UnitedHealth Group
Posted 4 days ago
Job Viewed
Job Description
Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
Optum Rx is looking for an experienced, curious, and self-motivated individual to lead a team that will be responsible for the development of new products and services for the organization. Partnering with business stakeholders, data science teams and technology teams, you will build strong relationships with our internal stakeholders, acquiring knowledge of the business and driving strategic platform build.
You will join a team of product managers, product owners, data scientists, and analysts who are responsible for building the pricing platform for over $100 Billion of prescription drug spend in the US Market annually. The team bring integrity, experience and calmness to what is a mammoth business. We have thousands of US clients, each with thousands of FDA approved drug prices to be managed. We are using our predictive models to optimize millions of individual drug prices to ensure we deliver value for clients and ultimately people who are filling over 150 million prescriptions per year.
We are accountable to manage one of the most complex areas of UnitedHealth Group, one of the largest companies in the world. We have to bring initiative, innovative thinking and curiosity to constantly evolve in a highly regulated environment. The changes we make have impact the next day for millions of people in the US market.
Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can have fun doing it.
**Primary Responsibilities:** ** **
+ Ability to lead cross-functional teams across engineering, and data science
+ Be a hands-on technical leader, actively contributing to model design, review and critical technical decision, and architecture.
+ Optimize models for performance, scalability and efficiency
+ Ability to take research whitepapers to production. Solid technical leadership to drive the Document Analysis team, which includes both data scientists and AI engineers.
+ Drives excellence and standardization across the data science team with a focus on skills development, training and career progression
+ Provide strategic and technical direction aligned to analytic efforts around AI/ML
+ Stay current on internal and external technological advances in AI and advanced analytics that can be applied to document processing
+ Drive inclusion and diversity as part of enhancing continued development of a strong diverse team culture
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications:**
+ Bachelor's degree (or higher) in engineering/relevant subject or equivalent experience
+ Proven experience in Azure Cognitive Services
+ Proficiency in Python (especially with libraries like NLTK, Scikit-Learn, Kera)
+ Experience with NLP tasks (named entity recognition, text classification, table extraction, Jaccard and Cosine models, RAG)
+ Familiarity with REST APIs and microservices
+ Experience with version control (Git), Docker, and cloud platforms (AWS, Azure, GCP)
**Preferred Qualifications:**
+ Experience with document OCR tools (Document Intelligence, Tesseract, Amazon Textract)
+ Familiarity with CI/CD pipelines and MLOps practices
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMEMEA
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
Optum Rx is looking for an experienced, curious, and self-motivated individual to lead a team that will be responsible for the development of new products and services for the organization. Partnering with business stakeholders, data science teams and technology teams, you will build strong relationships with our internal stakeholders, acquiring knowledge of the business and driving strategic platform build.
You will join a team of product managers, product owners, data scientists, and analysts who are responsible for building the pricing platform for over $100 Billion of prescription drug spend in the US Market annually. The team bring integrity, experience and calmness to what is a mammoth business. We have thousands of US clients, each with thousands of FDA approved drug prices to be managed. We are using our predictive models to optimize millions of individual drug prices to ensure we deliver value for clients and ultimately people who are filling over 150 million prescriptions per year.
We are accountable to manage one of the most complex areas of UnitedHealth Group, one of the largest companies in the world. We have to bring initiative, innovative thinking and curiosity to constantly evolve in a highly regulated environment. The changes we make have impact the next day for millions of people in the US market.
Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can have fun doing it.
**Primary Responsibilities:** ** **
+ Ability to lead cross-functional teams across engineering, and data science
+ Be a hands-on technical leader, actively contributing to model design, review and critical technical decision, and architecture.
+ Optimize models for performance, scalability and efficiency
+ Ability to take research whitepapers to production. Solid technical leadership to drive the Document Analysis team, which includes both data scientists and AI engineers.
+ Drives excellence and standardization across the data science team with a focus on skills development, training and career progression
+ Provide strategic and technical direction aligned to analytic efforts around AI/ML
+ Stay current on internal and external technological advances in AI and advanced analytics that can be applied to document processing
+ Drive inclusion and diversity as part of enhancing continued development of a strong diverse team culture
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications:**
+ Bachelor's degree (or higher) in engineering/relevant subject or equivalent experience
+ Proven experience in Azure Cognitive Services
+ Proficiency in Python (especially with libraries like NLTK, Scikit-Learn, Kera)
+ Experience with NLP tasks (named entity recognition, text classification, table extraction, Jaccard and Cosine models, RAG)
+ Familiarity with REST APIs and microservices
+ Experience with version control (Git), Docker, and cloud platforms (AWS, Azure, GCP)
**Preferred Qualifications:**
+ Experience with document OCR tools (Document Intelligence, Tesseract, Amazon Textract)
+ Familiarity with CI/CD pipelines and MLOps practices
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMEMEA
This advertiser has chosen not to accept applicants from your region.
1
Senior Data Scientist - AI/Deep Learning
Dublin, Leinster
UnitedHealth Group
Posted 4 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
Todays' RCM is inherently complex due to opaque and payer-specific adjudication rules, incurring significant waste and inefficiency. Optum Insight is committed to delivering new technology and processes to improve the Revenue Cycle Management (RCM) workflow using advances in Gen AI and other state-of-the-art technology that would ultimately benefit all stakeholders involved in the healthcare ecosystem - payers, providers, and patients.
We are looking for a **Senior Data Scientist - AI/Deep Learning** to enhance our capacity to develop new analytic products. As a key member of the Data Science Team, you will be part of UnitedHealth Group's mission of helping people live healthier lives. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Science in Ireland and will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with a diverse analytic peer group in Ireland, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny offices and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
+ Build and maintain production-ready machine-learning models
+ Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
+ Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
+ Engage with subject-matter experts to explore business problems and design solutions
+ Present analysis and interpretation for both operational and business review and planning
+ Support short and long term operational and strategic business activities through the use of data and develop recommended business solutions through research, analysis and implement when appropriate
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
+ Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect
+ Proficiency in AI/ML anddeep learning frameworks such us PyTorch
+ Proven track record of developing and deploying machine learning models in production environments
**Soft Skills:**
+ Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved.
#RPO #BBMRTS
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
Todays' RCM is inherently complex due to opaque and payer-specific adjudication rules, incurring significant waste and inefficiency. Optum Insight is committed to delivering new technology and processes to improve the Revenue Cycle Management (RCM) workflow using advances in Gen AI and other state-of-the-art technology that would ultimately benefit all stakeholders involved in the healthcare ecosystem - payers, providers, and patients.
We are looking for a **Senior Data Scientist - AI/Deep Learning** to enhance our capacity to develop new analytic products. As a key member of the Data Science Team, you will be part of UnitedHealth Group's mission of helping people live healthier lives. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Science in Ireland and will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with a diverse analytic peer group in Ireland, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny offices and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
+ Build and maintain production-ready machine-learning models
+ Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
+ Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
+ Engage with subject-matter experts to explore business problems and design solutions
+ Present analysis and interpretation for both operational and business review and planning
+ Support short and long term operational and strategic business activities through the use of data and develop recommended business solutions through research, analysis and implement when appropriate
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
+ Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect
+ Proficiency in AI/ML anddeep learning frameworks such us PyTorch
+ Proven track record of developing and deploying machine learning models in production environments
**Soft Skills:**
+ Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved.
#RPO #BBMRTS
This advertiser has chosen not to accept applicants from your region.
2
Staff Inbound Product Manager - AI
Dublin, Leinster
ServiceNow, Inc.
Posted 4 days ago
Job Viewed
Job Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
We are seeking an experienced Product Manager to lead the development of agentic and AI capabilities within the ServiceNow platform. This role is pivotal in shaping the future of AI-native solutions to be leveraged by our customers, targeting the Admin persona.
The ideal candidate is deeply passionate about AI platforms and brings proven experience both in the field of AI. They understand the critical role of data in building and scaling AI products, and thrive in fast-paced, ambiguous environments.
+ Own the product strategy and roadmap for product area, with emphasis on data ingestion, model lifecycle management, grounding, prompt orchestration, output validation, and administrative experiences.
+ Partner with engineering and design to build robust, scalable platform components that address the unique challenges of the personas you serve.
+ Leverage existing ServiceNow capabilities while identifying key innovations needed to unlock the full value of AI across the product portfolio.
+ Influence product teams to adopt frameworks and solutions to ensure long-term success for our customers
+ Collaborate with Outbound partners to deliver ecosystem-aligned, data-powered solutions to market.
+ Analyze competitive AI platform trends and identify whitespace opportunities to differentiate ServiceNow.
+ Engage deeply with customers in partnership with Research and Outbound Partners to drive adoption, gather feedback, and continuously iterate on the roadmap based on evolving enterprise needs.
+ Prototype and test new AI capabilities with cross-functional teams, translating early learnings into product direction.
+ Champion customer-centric thinking across the organization and be the voice of ServiceNow administrators, developers and implementers.
+ Experience in building or managing AI platform capabilities, including data pipelines, model orchestration, LLM tuning, and evaluation frameworks, with a strong track record as an individual contributor.
+ Experience working and building for Administrator personas
+ Strong understanding of the role of data in AI development-labeling, quality, governance, and how it impacts model performance and business outcomes.
+ 6+ years of enterprise software product management experience, with at least 5 in SaaS; AI/ML or data platform experience strongly preferred.
+ Lead, manage a high-performing team of product managers, leveraging exceptional leadership skills to inspire and motivate them to achieve exceptional results.
+ Entrepreneurial mindset with experience launching 0-to-1 products or platform capabilities; proven ability to scale offerings over time.
+ Obsession with product-market fit and delivering value at speed while maintaining a long-term architectural vision.
+ Proven collaborator with experience driving consensus and execution across engineering, design, sales, and customer success teams.
+ Analytical thinker with strong data literacy; able to connect technical metrics with product strategy and user outcomes.
+ Excellent communicator who can tailor messages to technical and business audiences alike, from LLM practitioners to C-suite stakeholders.
+ Comfortable navigating complexity and ambiguity, with a bias for action and continuous learning.
+ Thought leadership in Generative AI trends, AI safety and ethics, and enterprise AI adoption patterns.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
We are seeking an experienced Product Manager to lead the development of agentic and AI capabilities within the ServiceNow platform. This role is pivotal in shaping the future of AI-native solutions to be leveraged by our customers, targeting the Admin persona.
The ideal candidate is deeply passionate about AI platforms and brings proven experience both in the field of AI. They understand the critical role of data in building and scaling AI products, and thrive in fast-paced, ambiguous environments.
+ Own the product strategy and roadmap for product area, with emphasis on data ingestion, model lifecycle management, grounding, prompt orchestration, output validation, and administrative experiences.
+ Partner with engineering and design to build robust, scalable platform components that address the unique challenges of the personas you serve.
+ Leverage existing ServiceNow capabilities while identifying key innovations needed to unlock the full value of AI across the product portfolio.
+ Influence product teams to adopt frameworks and solutions to ensure long-term success for our customers
+ Collaborate with Outbound partners to deliver ecosystem-aligned, data-powered solutions to market.
+ Analyze competitive AI platform trends and identify whitespace opportunities to differentiate ServiceNow.
+ Engage deeply with customers in partnership with Research and Outbound Partners to drive adoption, gather feedback, and continuously iterate on the roadmap based on evolving enterprise needs.
+ Prototype and test new AI capabilities with cross-functional teams, translating early learnings into product direction.
+ Champion customer-centric thinking across the organization and be the voice of ServiceNow administrators, developers and implementers.
+ Experience in building or managing AI platform capabilities, including data pipelines, model orchestration, LLM tuning, and evaluation frameworks, with a strong track record as an individual contributor.
+ Experience working and building for Administrator personas
+ Strong understanding of the role of data in AI development-labeling, quality, governance, and how it impacts model performance and business outcomes.
+ 6+ years of enterprise software product management experience, with at least 5 in SaaS; AI/ML or data platform experience strongly preferred.
+ Lead, manage a high-performing team of product managers, leveraging exceptional leadership skills to inspire and motivate them to achieve exceptional results.
+ Entrepreneurial mindset with experience launching 0-to-1 products or platform capabilities; proven ability to scale offerings over time.
+ Obsession with product-market fit and delivering value at speed while maintaining a long-term architectural vision.
+ Proven collaborator with experience driving consensus and execution across engineering, design, sales, and customer success teams.
+ Analytical thinker with strong data literacy; able to connect technical metrics with product strategy and user outcomes.
+ Excellent communicator who can tailor messages to technical and business audiences alike, from LLM practitioners to C-suite stakeholders.
+ Comfortable navigating complexity and ambiguity, with a bias for action and continuous learning.
+ Thought leadership in Generative AI trends, AI safety and ethics, and enterprise AI adoption patterns.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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This advertiser has chosen not to accept applicants from your region.
3
Digital Solution Engineer - AI Business Process (Dutch Speaker)
Dublin, Leinster
Microsoft Corporation
Posted 4 days ago
Job Viewed
Job Description
The mission of Microsoft Business Applications is to help our customers digitally transform their businesses to drive new sources of revenue, create new and engaging ways to serve their customers, and to transform the way in which their business runs to drive new levels of profitability for their organization.
At Small Medium Enterprises and Channel (SME&C), we are leading a high-growth, AI-powered global sales team-one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry's most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation.
SME&C is more than a sales organization-it's a culture of innovation, opportunity, and inclusivity. Here, you'll be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do.
If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we are shaping the future of business.
In this role you will be the AI Business Process Sales and Service Solution Engineer (SE) for the SME-C segment for your assigned workload and a member of the sales team that consists of Digital AI Business Process Specialists, partners and engineering.
As an AI Business Process Sales and Service Solution Engineer (SE), you will lead AI transformation engagements with a focus on Sales and Service domain expertise. Your role involves owning the technical win strategy and supporting AI Business Process Sales Specialists (SSP) by forming strong relationships with C-Suite executives, Business Decision Makers (BDMs), and Technical Decision Makers (TDMs) such as CIOs, CTOs, and IT Leaders. You will help them achieve their goals for product proficiency, roadmap, and competitive discussions to secure technical decisions.
In this role you will advance pipeline by assisting the Solution Specialist in qualifying the deal, developing the strategy and inspiring the Business Decision Maker/Technical Decision Maker. You are responsible for designing the solution and delivering an industry-aligned demonstration to the customer. You will engage partners for co-sell and implementation considerations, engineering to assist with emerging technologies and Customer Success Unit for deal support. The demo will focus on solving the technical proof requirements while highlighting our business value and competitive differentiators and should result in securing the customer's solution design endorsement.
You will develop relationships with the decision makers and with our customers and position yourself as a trusted advisor in your domain. As a recognized product expert, you are responsible for sharing your technical, industry knowledge, and best practices with your peers.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
**Responsibilities**
+ Advance qualified pipeline revenue by demonstrating solution capabilities, addressing technical proof requirements, and securing the customer's solution design endorsement.
+ Own the technical win strategy for each opportunity. Engage with Business Decision Makers (BDMs) and Technical Decision Makers (TDMs) to translate their priorities and goals to solution vision by addressing business challenges, prioritized with business value and by leveraging deep Dynamics 365 Sales & Service applications (Sales, Customer Service, Contact Center, Field Service, Customer Insights, and LOB AI Agents) and Copilot Studio expertise to secure technical decision.
+ Orchestrate customer envisioning workshops, whiteboard design sessions, and compelling technical demos across Dynamics 365 Sales & Service applications (Sales, Customer Service, Contact Center, Field Service, Customer Insights), Copilot Studio, AI Agents.
+ Lead proof-of-Concept engagements for high-priority scenarios, documenting POC outcomes and mapping customer solution requirements. Translate these findings into detailed technical plans - including migration pathways to D365, recommended migration tools - with clear milestones and risk mitigation strategies, captured in a Technical Close Plan for seamless hand-off to SI partners.
+ Showcase Microsoft's unique value in AI-powered business process D365 solutions to win technical decisions against major competitors (e.g. Salesforce, Oracle, IFS, ServiceNow, Amazon Connect). Anticipate and address technical blockers - such as AI-related compliance, privacy, or security concerns - early in the sales process, developing mitigation plans that instill confidence in D365 solutions. Drive proof-based differentiation (architecture design sessions, pilot deployments) to highlight how Dynamics 365 meets customer needs better than the competition, ultimately improving win rates and displacing incumbent solutions.
+ Leverage the Microsoft partner ecosystem to enhance and scale solution delivery from early stages to assist with complex demos, POCs, and solution builds, ensuring their industry or domain expertise complements the sales strategy. Orchestrate co-selling and co-innovation with partners (including FastTrack, and ISV providers).
+ Work closely with the Customer Success Unit (CSU)/Partners to ensure customers realize value from their Dynamics 365 investments. Secure a clear deployment plan for every deal, including agreed success metrics and adoption milestones. Drive early adoption of high-value, consumption-based features like Copilot Studio and Dynamics 365 AI Agents by capturing usage intent during pre-sales and incorporating it into the Technical Close Plan.
+ Commit to ongoing professional development to maintain expert-level product knowledge and strategic sales skills. Complete 100% of required training and certifications by the designated deadlines, demonstrating a willingness to grow and adapt with Microsoft's innovations. Achieve at least Level 200 proficiency in consultative selling approaches and Level 400 mastery of Dynamics 365 solutions for key workloads (Sales, Service, Field Service, etc.), enabling you to fluently bridge executive business discussions and deep technical dialogues.
+ Proactively share your insights from wins/losses with broader SE community to scale best practices and learnings.
+ Acts as a technical thought leader by sharing best practices (e.g., architecture deep dives) and regularly delivering content at readiness events (e.g., Field Advisory Board, Community Calls). Provides insight into how to identify and win opportunities to increase D365 solutions understanding and capabilities.
+ Address solution architecture considerations and competitive objection handling.
+ Assist in formalizing the customer proposal.
**Qualifications**
**Required/minimum qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND technical pre-sales or technical consulting experience OR equivalent experience.
+ Dutch language is a must
+ Previous experience in CRM technical roles (consultant, implementation, engineering or related roles)
**Additional Or Preferred Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND technical pre-sales or technical consulting experience OR equivalent experience.
+ Previous experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ Certification in relevant (Microsoft or industry) technologies or disciplines (e.g., Microsoft Office 365; Power BI; Azure Administrator, Architecture, and Development exams; Cloud Platform Technologies; Information Security; Architecture).
#SMECCareers
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
At Small Medium Enterprises and Channel (SME&C), we are leading a high-growth, AI-powered global sales team-one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry's most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation.
SME&C is more than a sales organization-it's a culture of innovation, opportunity, and inclusivity. Here, you'll be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do.
If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we are shaping the future of business.
In this role you will be the AI Business Process Sales and Service Solution Engineer (SE) for the SME-C segment for your assigned workload and a member of the sales team that consists of Digital AI Business Process Specialists, partners and engineering.
As an AI Business Process Sales and Service Solution Engineer (SE), you will lead AI transformation engagements with a focus on Sales and Service domain expertise. Your role involves owning the technical win strategy and supporting AI Business Process Sales Specialists (SSP) by forming strong relationships with C-Suite executives, Business Decision Makers (BDMs), and Technical Decision Makers (TDMs) such as CIOs, CTOs, and IT Leaders. You will help them achieve their goals for product proficiency, roadmap, and competitive discussions to secure technical decisions.
In this role you will advance pipeline by assisting the Solution Specialist in qualifying the deal, developing the strategy and inspiring the Business Decision Maker/Technical Decision Maker. You are responsible for designing the solution and delivering an industry-aligned demonstration to the customer. You will engage partners for co-sell and implementation considerations, engineering to assist with emerging technologies and Customer Success Unit for deal support. The demo will focus on solving the technical proof requirements while highlighting our business value and competitive differentiators and should result in securing the customer's solution design endorsement.
You will develop relationships with the decision makers and with our customers and position yourself as a trusted advisor in your domain. As a recognized product expert, you are responsible for sharing your technical, industry knowledge, and best practices with your peers.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
**Responsibilities**
+ Advance qualified pipeline revenue by demonstrating solution capabilities, addressing technical proof requirements, and securing the customer's solution design endorsement.
+ Own the technical win strategy for each opportunity. Engage with Business Decision Makers (BDMs) and Technical Decision Makers (TDMs) to translate their priorities and goals to solution vision by addressing business challenges, prioritized with business value and by leveraging deep Dynamics 365 Sales & Service applications (Sales, Customer Service, Contact Center, Field Service, Customer Insights, and LOB AI Agents) and Copilot Studio expertise to secure technical decision.
+ Orchestrate customer envisioning workshops, whiteboard design sessions, and compelling technical demos across Dynamics 365 Sales & Service applications (Sales, Customer Service, Contact Center, Field Service, Customer Insights), Copilot Studio, AI Agents.
+ Lead proof-of-Concept engagements for high-priority scenarios, documenting POC outcomes and mapping customer solution requirements. Translate these findings into detailed technical plans - including migration pathways to D365, recommended migration tools - with clear milestones and risk mitigation strategies, captured in a Technical Close Plan for seamless hand-off to SI partners.
+ Showcase Microsoft's unique value in AI-powered business process D365 solutions to win technical decisions against major competitors (e.g. Salesforce, Oracle, IFS, ServiceNow, Amazon Connect). Anticipate and address technical blockers - such as AI-related compliance, privacy, or security concerns - early in the sales process, developing mitigation plans that instill confidence in D365 solutions. Drive proof-based differentiation (architecture design sessions, pilot deployments) to highlight how Dynamics 365 meets customer needs better than the competition, ultimately improving win rates and displacing incumbent solutions.
+ Leverage the Microsoft partner ecosystem to enhance and scale solution delivery from early stages to assist with complex demos, POCs, and solution builds, ensuring their industry or domain expertise complements the sales strategy. Orchestrate co-selling and co-innovation with partners (including FastTrack, and ISV providers).
+ Work closely with the Customer Success Unit (CSU)/Partners to ensure customers realize value from their Dynamics 365 investments. Secure a clear deployment plan for every deal, including agreed success metrics and adoption milestones. Drive early adoption of high-value, consumption-based features like Copilot Studio and Dynamics 365 AI Agents by capturing usage intent during pre-sales and incorporating it into the Technical Close Plan.
+ Commit to ongoing professional development to maintain expert-level product knowledge and strategic sales skills. Complete 100% of required training and certifications by the designated deadlines, demonstrating a willingness to grow and adapt with Microsoft's innovations. Achieve at least Level 200 proficiency in consultative selling approaches and Level 400 mastery of Dynamics 365 solutions for key workloads (Sales, Service, Field Service, etc.), enabling you to fluently bridge executive business discussions and deep technical dialogues.
+ Proactively share your insights from wins/losses with broader SE community to scale best practices and learnings.
+ Acts as a technical thought leader by sharing best practices (e.g., architecture deep dives) and regularly delivering content at readiness events (e.g., Field Advisory Board, Community Calls). Provides insight into how to identify and win opportunities to increase D365 solutions understanding and capabilities.
+ Address solution architecture considerations and competitive objection handling.
+ Assist in formalizing the customer proposal.
**Qualifications**
**Required/minimum qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND technical pre-sales or technical consulting experience OR equivalent experience.
+ Dutch language is a must
+ Previous experience in CRM technical roles (consultant, implementation, engineering or related roles)
**Additional Or Preferred Qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND technical pre-sales or technical consulting experience OR equivalent experience.
+ Previous experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ Certification in relevant (Microsoft or industry) technologies or disciplines (e.g., Microsoft Office 365; Power BI; Azure Administrator, Architecture, and Development exams; Cloud Platform Technologies; Information Security; Architecture).
#SMECCareers
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
4
Principal Machine Learning Engineer
Red Hat
Posted 4 days ago
Job Viewed
Job Description
Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**
This advertiser has chosen not to accept applicants from your region.
5
Principal Machine Learning Engineer
Red Hat
Posted 4 days ago
Job Viewed
Job Description
Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**
This advertiser has chosen not to accept applicants from your region.
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6
Principal Machine Learning Engineer
Dublin, Leinster
Red Hat
Posted 4 days ago
Job Viewed
Job Description
Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**
This advertiser has chosen not to accept applicants from your region.
7
Lead Software Engineer (Agentic AI)
Cork, Munster
Cadence Design Systems, Inc.
Posted 4 days ago
Job Viewed
Job Description
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality.
Cadence customers are the world's most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Title: Lead Software Engineer (Agentic AI)
Location: Cork, Ireland
Reports to: Software Engineering Group Director
Job Overview:
We are seeking a software engineer to join our team responsible for developing and maintaining Agentic AI applications in the digital verification domain. This role offers an exciting opportunity to work at the intersection of computational software, hardware verification and artificial intelligence, helping to shape the future of Cadence's innovative solutions.
Job Responsibilities:
+ Design and development of AI systems and AI features within Cadence's suite of verification tools.
+ Identify and evaluate opportunities to apply AI to solve very hard real-world engineering problems.
+ Effectively communicate and educate other engineers in the theory and best practices of the application of AI.
+ Evaluate and select AI algorithms and tools appropriate for specific problems.
+ Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results.
+ Reporting and documenting on AI processes and results.
+ Participate in code reviews, testing, and debugging to ensure high-quality, reliable software
+ Stay current with industry trends and emerging technologies in AI
Job Qualifications:
+ BSc in Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience,
+ Or M.Sc plus 2+ years of experience in implementing ML models and applications,
+ Or PhD in a relevant area.
+ Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques.
+ Extensive experience in building AI based applications
+ Strong understanding of Software Development best practices and in OO Design principles and patterns.
+ Very strong competency in mathematics, statistics, data structures and algorithms.
+ A penchant for finding outstanding solutions to very difficult problems.
+ Excellent communication skills and collaboration capabilities.
+ Ability to work in a diverse/multi-cultural environment.
Additional Skills/Preferences:
+ Experience with Large Language Models
+ Familiarity with prompt engineering techniques
+ Experience or understanding of electronic design.
+ Experience developing in a Linux environment.
+ Experience with version control tools such as Git.
+ Experience dealing with customers & external stakeholders.
+ Strong presentation skills.
Work Arrangements
+ Hybrid working model with 4 in-office days expected
+ Opportunities for collaboration with global teams
Why Join Cadence?
+ Work with cutting-edge AI technology that impacts the development of next-generation products
+ Collaborate with industry experts and thought leaders in computational software
+ Professional development opportunities and clear career progression paths
+ Inclusive workplace culture that values diversity of thought and innovation
Additional Information:
Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.
We're doing work that matters. Help us solve what others can't.
Additional Jobs ( Employment Opportunity Policy:
Cadence is committed to equal employment opportunity throughout all levels of the organization.
+ Read the policy(opens in a new tab) ( welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact
Privacy Policy:
Job Applicant If you are a job seeker creating a profile using our careers website, please see the privacy policy(opens in a new tab) ( .
E-Verify Cadence participates in the
E-Verify program in certain U.S. locations as required by law. Download More Information on E-Verify (64K) ( plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences.
Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.
Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Cadence is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality.
Cadence customers are the world's most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Title: Lead Software Engineer (Agentic AI)
Location: Cork, Ireland
Reports to: Software Engineering Group Director
Job Overview:
We are seeking a software engineer to join our team responsible for developing and maintaining Agentic AI applications in the digital verification domain. This role offers an exciting opportunity to work at the intersection of computational software, hardware verification and artificial intelligence, helping to shape the future of Cadence's innovative solutions.
Job Responsibilities:
+ Design and development of AI systems and AI features within Cadence's suite of verification tools.
+ Identify and evaluate opportunities to apply AI to solve very hard real-world engineering problems.
+ Effectively communicate and educate other engineers in the theory and best practices of the application of AI.
+ Evaluate and select AI algorithms and tools appropriate for specific problems.
+ Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results.
+ Reporting and documenting on AI processes and results.
+ Participate in code reviews, testing, and debugging to ensure high-quality, reliable software
+ Stay current with industry trends and emerging technologies in AI
Job Qualifications:
+ BSc in Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience,
+ Or M.Sc plus 2+ years of experience in implementing ML models and applications,
+ Or PhD in a relevant area.
+ Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques.
+ Extensive experience in building AI based applications
+ Strong understanding of Software Development best practices and in OO Design principles and patterns.
+ Very strong competency in mathematics, statistics, data structures and algorithms.
+ A penchant for finding outstanding solutions to very difficult problems.
+ Excellent communication skills and collaboration capabilities.
+ Ability to work in a diverse/multi-cultural environment.
Additional Skills/Preferences:
+ Experience with Large Language Models
+ Familiarity with prompt engineering techniques
+ Experience or understanding of electronic design.
+ Experience developing in a Linux environment.
+ Experience with version control tools such as Git.
+ Experience dealing with customers & external stakeholders.
+ Strong presentation skills.
Work Arrangements
+ Hybrid working model with 4 in-office days expected
+ Opportunities for collaboration with global teams
Why Join Cadence?
+ Work with cutting-edge AI technology that impacts the development of next-generation products
+ Collaborate with industry experts and thought leaders in computational software
+ Professional development opportunities and clear career progression paths
+ Inclusive workplace culture that values diversity of thought and innovation
Additional Information:
Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.
We're doing work that matters. Help us solve what others can't.
Additional Jobs ( Employment Opportunity Policy:
Cadence is committed to equal employment opportunity throughout all levels of the organization.
+ Read the policy(opens in a new tab) ( welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact
Privacy Policy:
Job Applicant If you are a job seeker creating a profile using our careers website, please see the privacy policy(opens in a new tab) ( .
E-Verify Cadence participates in the
E-Verify program in certain U.S. locations as required by law. Download More Information on E-Verify (64K) ( plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences.
Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world's toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.
Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Cadence is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
This advertiser has chosen not to accept applicants from your region.
8
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant / Manager
Dublin, Leinster
€125000 - €150000 Annually
Ernst & Young Advisory Services Sdn Bhd
Posted 6 days ago
Job Viewed
Job Description
Overview Location: Dublin 2. Other locations: Primary Location Only. Date: Oct 2, 2025. Requisition ID: .
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant / Manager - Dublin/Cork/Limerick/Galway
General Information
Location: Dublin, Cork, Limerick, or Galway.
Available for VISA Sponsorship: No
Business Area: Data & Analytics
Contract Type: Full Time - Permanent
EY is the only major professional services firm with an integrated Financial Services practice across Europe, the Middle East, India, and Africa (EMEIA). We connect our Asset Management, Banking and Capital Markets and Insurance clients to 6,500 talented people from 12 countries and 35,000 Financial Services colleagues around the world.
In EY FS Ireland, we are expanding our Consulting practice and building our Technology Consulting team as a key component of our All In Strategy. All In is EY's global strategy and ambition to create long-term value to all stakeholders by leveraging data and technology. It is designed to integrate transformative solutions across EY's services, ensuring a comprehensive approach to our clients' needs. We are actively recruiting high achieving individuals with technical data expertise within Financial Services: Banking, Insurance and Wealth and Asset Management.
We are seeking an experienced Data Engineer with a strong background in supporting business and analytics teams in Financial Services industry by designing, developing, and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight, and Stream Analytics. Core Azure SQL, MSSQL server.
They will also have understanding of the underlying data flow architectures, will have supported finance, operations, privacy & security, compliance & regulatory projects in the past, have a functional understanding of the data sets used in the relevant business domain(s) they supported, as well be adept at data sourcing, data wrangling, issue gap and root cause analysis, ETL and implementing data solutions for effective process change and improvement strategies. Experience in agile software delivery is a must.
Your Key Responsibilities:
To qualify for the role, you must have:
Experience in one or more of the following Cloud Platforms:
Microsoft:
We offer a competitive remuneration package . click apply for full job details
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant / Manager - Dublin/Cork/Limerick/Galway
General Information
Location: Dublin, Cork, Limerick, or Galway.
Available for VISA Sponsorship: No
Business Area: Data & Analytics
Contract Type: Full Time - Permanent
EY is the only major professional services firm with an integrated Financial Services practice across Europe, the Middle East, India, and Africa (EMEIA). We connect our Asset Management, Banking and Capital Markets and Insurance clients to 6,500 talented people from 12 countries and 35,000 Financial Services colleagues around the world.
In EY FS Ireland, we are expanding our Consulting practice and building our Technology Consulting team as a key component of our All In Strategy. All In is EY's global strategy and ambition to create long-term value to all stakeholders by leveraging data and technology. It is designed to integrate transformative solutions across EY's services, ensuring a comprehensive approach to our clients' needs. We are actively recruiting high achieving individuals with technical data expertise within Financial Services: Banking, Insurance and Wealth and Asset Management.
We are seeking an experienced Data Engineer with a strong background in supporting business and analytics teams in Financial Services industry by designing, developing, and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight, and Stream Analytics. Core Azure SQL, MSSQL server.
They will also have understanding of the underlying data flow architectures, will have supported finance, operations, privacy & security, compliance & regulatory projects in the past, have a functional understanding of the data sets used in the relevant business domain(s) they supported, as well be adept at data sourcing, data wrangling, issue gap and root cause analysis, ETL and implementing data solutions for effective process change and improvement strategies. Experience in agile software delivery is a must.
Your Key Responsibilities:
- Design, implement, and manage robust and scalable data pipelines and solutions for core systems and applications.
- Collaborate with IT and business teams to understand business and technical requirements in order to identify, prioritise and document data requirements for management and business insights.
- Design, build, and maintain data solutions that transform raw data into structured formats suitable for analytics.
- Develop and manage data models and ETL processes to ensure effective and efficient data ingestion and transformation.
- Analyse and conduct gap analysis in existing data architectures to identify impact areas and design solution options.
- Conduct thorough analysis of existing data processes and systems, identifying areas for improvement. Work closely with Data Stakeholders (e.g. Product and System Owners, Technical Leads, Business and Change Leads, Data and Solution Architects) to communicate and influence implementation of the identified technical enhancements.
- Lead performance optimisation identification of data pipeline bottlenecks and areas for improvement. Optimise query performance in data storage solutions and implement best practices for data processes and transformations to enhance the efficiency of ETL workflows.
- Implement security measures to protect sensitive data throughout the data lifecycle, including encryption, access controls, and data masking.
- Ensure compliance with data governance policies and regulatory requirements, such as GDPR, BCBS239, IFRS9, IRB or HIPAA.
- Monitor data quality and integrity throughout the transformation process, implementing controls and fixes as needed and maintaining compliance with the organisation's Data Governance and Data Management policies and procedures.
- Design data architecture that can scale horizontally and vertically to accommodate growing data volumes and user demands.
- Support the design and implementation of integrated technology solutions with data expertise, ensuring alignment with business goals and compliance with internal and external policies, procedures, and regulations.
- Design and implement robust reporting frameworks that facilitate timely and accurate financial status reporting
To qualify for the role, you must have:
Experience in one or more of the following Cloud Platforms:
- Core Azure SQL and MSSQL server
- Deep understanding of Azure-native services for data engineering.
- Experience with Azure Key Vault, Azure Monitor, and RBAC.
- Experience with S3, Glue, Redshift, and Lambda.
- Familiarity with IAM, CloudWatch, and Athena.
- Experience with BigQuery, Cloud Storage, and Dataflow.
- Familiarity with Cloud Functions, IAM, and Vertex AI (optional).
Microsoft:
- Experience with Azure Data Factory for orchestrating data workflows.
- Proficiency in Azure Synapse Analytics and SQL Server.
- Familiarity with Azure Data Lake Storage (Gen2) and Azure Blob Storage.
- Knowledge of Power BI integration and data modelling
- Understanding of Azure Functions and Logic Apps for automation.
- Strong SQL skills and experience with Snowflake's architecture (virtual warehouses, storage, cloud services).
- Proficiency in Snowflake Streams & Tasks for CDC and automation.
- Experience with Snowflake Secure Data Sharing and Snowflake Marketplace.
- Familiarity with Snowpark for Python/Java-based transformations.
- Understanding of role-based access control, data masking, and time travel features.
- Hands-on experience with Apache Spark and Databricks Runtime.
- Proficiency in Delta Lake for ACID-compliant data lakes.
- Experience with Structured Streaming and Auto Loader.
- Familiarity with MLflow, Feature Store, and Model Registry.
- Use of Databricks notebooks for collaborative development in Python, SQL, or Scala.
- Bachelors' degree in Data Science, Analytics, Information Technology, Computer Science, Statistics, Mathematics, Quantitative Economics, Engineering, or equivalent professional education.
- Minimum of 3 years' experience in a Data Engineering role with a blue-chip consulting firm or in the Data Office/Data Engineering function of a multinational organisation or a large financial services institution.
- Proficient in SQL at an advanced level, with experience in complex data manipulation and analysis including advanced joins, subqueries, and performance tuning
- Experience in Continuous Integration & Continuous Delivery (CI/CD) and relevant tools, e.g. Azure DevOps/ Azure Pipelines, GitHub, Jenkins, Terraform, Ansible, CircleCI.
- Familiarity with one or more business domains: finance, operations, privacy & security, regulatory & compliance.
- Knowledge of typical data management and governance frameworks and compliance requirements.
- Experience with Agile methodologies and a proven track record of delivering data solutions in an Agile environment.
- Excellent analytical, problem-solving, and decision-making skills.
- Relevant work experience in multi-stakeholder environment. Strong communication and interpersonal skills, with the ability to engage effectively with both technical and non-technical stakeholders.
- Team centric mindset, always ready support their colleagues and not afraid to ask for help when needed.
- Understanding and respect for client and team deadlines, great organisation skills and ability to organise and prioritise own work to achieve the delivery objectives.
- Familiarity with Python and the most widely used Python libraires as well as datatypes such as: Dictionaries, Lists, Arrays, Strings
- Experience working with Financial Services clients (Banking, Insurance or Wealth and Asset Management) is preferred.
- Ability to deal with ambiguity and uncertainty.
- Growth and continuous learning mindset.
- Be able to conduct workshops and stakeholder interviews.
- Ability to build and manage relationships across business and technology stakeholders.
- Financial Services industry background or experience as a bonus.
- Preparation and delivery of MI/ BI reporting in Power BI or SAS a bonus.
- Snowflake experience a bonus.
- Someone who is passionate about reaching their full potential and excelling in their career
- Someone with energy, enthusiasm and courage who enjoys solving complex problems and variety in their day-to-day working life
- Someone who enjoys working as part of a community which values integrity, respect, teaming, and inclusiveness
We offer a competitive remuneration package . click apply for full job details
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