63 Generative AI jobs in Ireland

EXL (NASDAQ: EXLS) is seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results.

Key Responsibilities:

• AI Architecture Innovation Research & Design: Our mantra is Innovation at Speed. Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways.

• Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope.

• Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development.

• Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects.

• Project & Engagement Leadership: Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams (internal and client-side) and ensuring timely delivery of high-quality solutions.

• Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design.

• Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress.

• Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle.

• Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms.

Technical Skills:

• Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). Experience using Cursor, Windsurf, Replit, and Github Copilot.

• LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation.

• GenAI & Agentic Frameworks: Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, agent planning, tool use integration, multi-agent collaboration).

• AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event-driven architectures, and patterns specific to RAG (Retrieval-Augmented Generation), Graph RAG, Agentic RAG, and multi-agent systems.

• Data: Knowledge of industry approaches to data engines and data labeling like and Mercor. Experience with auto data-labeling and synthetic data generation techniques.

• Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS).

• Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems.

• Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.

• Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.

• LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications.

Leadership & Communication
:

• Proven ability to lead and motivate diverse, global teams

• Excellent communication skills, capable of explaining complex AI concepts to various stakeholders

• Strong project and program management skills and experience working in Agile environments

Qualifications:

• Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred.

• Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery.

• Deployment Success: Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings.

• Consulting Background: Prior experience in technology consulting or a client-facing technical specialist role within a technology provider is highly advantageous.

• Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus.

Additional Considerations:

We seek a leader who excels at translating cutting-edge Generative and Agentic AI capabilities into tangible business value for clients and the organization. The ideal candidate bridges the gap between advanced AI research and practical, robust, scalable, and ethical business applications, possessing both deep hands-on technical credibility and strategic consulting acumen to architect and implement AI solutions at an enterprise scale.

As part of a leading global analytics and digital solutions company, you can look forward to:

• A competitive salary with a generous bonus, private healthcare, life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
• At
  EXL
  , we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.
• As an Equal Opportunity Employer,
  EXL
  is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
• At
  EXL
  , we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the Republic of Ireland.

AI Engineer (12 month Contract)

Dublin (1 day per week in-office, every Wednesday)

12-month contract

€500-€600 daily rate

This is an expanding data team and looking to bring in one of its first AI-focused hires – an experienced Data Scientist stepping into an AI Engineer role. This is a unique opportunity to help shape the future of automation within one of Ireland's most iconic companies.

The Role

As an AI Engineer, you'll play a pivotal role in automating business processes across the organisation. You'll collaborate with a growing data team and work closely with stakeholders to implement impactful AI solutions that drive efficiency and innovation.

What We're Looking For

8–15 years' experience in data science or related fields

Proven track record of implementing AI solutions in real-world business environments

Strong programming skills in Python

Hands-on experience with Copilot agent (or similar AI-assisted development tools)

Ability to work independently while being a strong team collaborator

Why Join?

Be one of the first AI hires, shaping how AI is adopted within the business

A contractor-friendly environment with supportive teams

The chance to make a real impact in a growing data function

A flexible hybrid setup – just one day per week in the Dublin office

Job Summary

We are seeking a highly skilled and experienced AI & Automation Engineer develop AI-driven automation and next generation AI tools. This role requires a strong understanding of data center network support and NOC operations, AI engineering, and a passion for developing innovative solutions to complex business challenges.

Responsibilities:

• Contribute toward AI roadmap for AI-driven automation aligning with strategic company and client goals.
• Collaborate with engineering and data teams to design and architect scalable, robust, and innovative AI solutions (e.g., automated network diagnostics, bot recommendation systems, AI agents NOC operations).
• Act as the Solution Owner in an Agile/Scrum environment, managing the product backlog, writing detailed user stories, defining acceptance criteria, and prioritizing features.
• Lead the evaluation, fine-tuning, and integration of open-source Large Language Models (LLMs) like Llama series & other LLMs.
• Develop and own key components of the automation framework, including PowerShell and Python runbook executors.
• Develop and train machine learning models for tasks such as anomaly detection, predictive maintenance, and capacity planning in IT environments.
• Work with large datasets of IT operational data, performing data cleaning, feature engineering, and data analysis to improve model accuracy and performance.
• Contribute to the development of internal automation tools and frameworks.
• Deliver continuous service improvements by proactively identifying opportunities for process enhancements.

Proficiently develop AI/Gen AI point solutions to meet business needs.

• Troubleshoot and resolve issues related to automation systems and AI models.
• Engage with customers, IT operators, Network Engineers, and internal stakeholders to gather requirements, validate solutions, and ensure product-market fit.
• Serve as the Subject Matter Expert (SME) on AIOps, IT Process Automation (ITPA), and Runbook Automation (RBA), providing technical guidance and insights.
• Document automation processes, code, and models clearly and concisely.
• Actively contribute to team results and work towards achieving team goals and objectives.
• Undertake designated skill/knowledge development within the organization, including training of next-level team members.

Required Skills & Competencies:

• 4+ years of experience in IT services, with at least 3 years in:
• IT Service Automation – Orchestration, Scripting, & Process Assessment.
• AI Engineering – Developing and deploying AI Agents and cutting-edge GenAI & ML solutions to address complex business challenges.
• Expertise in integrating various tools and building analytics/insights.
• Proficiency in at least two scripting languages such as PowerShell, Python, or Shell Script.
• Strong foundational knowledge across core IT domains, with a specific emphasis on Network & Network Services, including understanding network topologies, protocols, and common operational issues.
• Demonstrable experience implementing solutions using state-of-the-art LLMs, with hands-on experience with both open-source models (e.g., Llama series) and proprietary models (e.g., GPT-4).
• Proficiency with a major deep learning framework, preferably PyTorch, for model experimentation and fine-tuning.
• Proficiency in a high-level programming language (Java, Python) and experience with containerization technologies (Docker, Kubernetes) for deploying AI models.
• Solid understanding and practical experience with cloud platforms such as Azure or GCP, including knowledge of their networking services (e.g., VNets, VPCs).
• Experience with AI/ML libraries and frameworks.
• A strong understanding of ITIL process on one or more service lifecycle or service capability modules.
• Knowledge in one or more System administrative activities like monitoring, service requests, incident management, change management, & maintenance.
• Excellent communication skills with an ability to explain concepts and solutions clearly and concisely.
• Experience in training/grooming people.
• Excellent analytical and problem-solving skills.

German / Multilingual Graduates – Generative Data Annotator
Location:
Dublin

Salary:
€31,063 per annum

Are you a
multilingual
graduate with some experience in a customer-facing role
, looking to start a career working with
AI?
Our client, a
globally known social media platform
, is hiring for a new and exciting role —
Generative Data Annotator
.

As an Annotator, you will play a key part in improving large language models by creating, assessing, and refining pairs of questions and answers. This role is ideal for detail-oriented individuals who enjoy working with data, language, and technology.

Main Responsibilities:

• Annotate English and market-language data accurately and consistently, following predefined annotation guidelines.
• Evaluate the quality of existing data resources and machine learning outputs.
• Develop, implement, and maintain guidelines for consistent, high-quality classification and content organization.
• Conduct basic research as needed to ensure accurate annotations.
• Provide feedback to enhance the data annotation process and contribute ideas for continuous improvement.
• Identify and communicate patterns or insights from annotated data.
• Research new entity categories and best practices for organizing them.

What We're Looking For:

• Strong analytical skills and attention to detail, with the ability to interpret large datasets.
• Excellent verbal and written communication skills.
• Proficiency in the market language (minimum C1 level).
• High proficiency in English (minimum C1 level).
• Bachelor's degree or higher qualification.
• Interest in technology, data, and AI-driven innovation.

If this sounds like your next step send over an email to (email protected) or apply now I'd love to have a chat and see if this opportunity aligns with your career goals.

AI is moving fast. You already know that. New frameworks every week, new models every month, and new roles everywhere. Most companies are scrambling to keep up whereas this crowd want to lead.

You will live at the intersection of deep technical credibility and business impact. Someone who can sit with a C-suite exec, map their problems to AI solutions, and then guide a team to make it real.

This isn't about being another "prompt whisperer." It's about designing real AI systems that can handle the scale and complexity of big enterprises. Taking the latest research and tools, and shaping them into solutions that actually work in the wild - reliable, secure, and ready for production.

What you'll do

• Work with big enterprise clients (insurance, banking, healthcare, and more) to identify and design game-changing AI use cases.
• Architect robust Generative + Agentic AI solutions, from strategy through delivery.
• Lead workshops and conversations that translate hype into roadmaps.
• Stay ahead of the AI curve - think in weeks, not years.
• Mentor engineers and data scientists on how to actually build the things you design.

What you bring

• 10+ years in AI/ML/data science or software architecture.
• You've deployed real, large-scale AI systems. Not just PoC's
• You're fluent in modern AI tooling (LangChain, LlamaIndex, Hugging Face, vector DBs, cloud platforms).
• You can talk the talk with execs and walk the walk with engineers.
• A consulting or client-facing background is a big plus.

What's in it for you

Excellent salary, 15% bonus, pension, medical, income protection & more.

This is a Hybrid role. Offices are based in Dublin City Centre and the company unfortunately can't offer sponsorship. You must hold a Stamp 4 or EU Visa

If you're nodding along, it's probably worth applying

Overview
We are seeking a curious, collaborative, and proactive professional who is passionate about Generative AI to join our newly formed central AI team. As a Generative AI Developer, you will build innovative generative AI applications for business users. This role blends full-stack development with cutting-edge AI methods, delivering impactful solutions from data integration to user interfaces.

Key Responsibilities

• Collaborate with stakeholders to identify AI use cases and integrate solutions into workflows.
• Develop data pipelines for structured and unstructured data to support AI workflows.
• Process unstructured data using NLP and LLM techniques.
• Implement and optimize Retrieval-Augmented Generation (RAG), agentic AI applications, and LLM integrations.
• Build intuitive user interfaces for web and desktop platforms.
• Create dashboards to visualize AI insights and model performance.
• Deploy and monitor AI applications using Docker, Kubernetes, VMs, and enterprise schedulers.
• Maintain and support AI applications for reliability and performance.
• Ensure compliance with security and ethical standards in AI development.

Required Experience
What we're looking for

• 8+ years of experience with Python or .NET/C#, building production-grade applications and data pipelines
• Proficiency with SQL/NoSQL databases and data integration.
• Familiarity with OOP, DevOps, CI/CD, Docker/Kubernetes, automated testing, and debugging.
• Experience with LLM APIs (OpenAI, Azure, Gemini, Claude) and frameworks (LangChain, LlamaIndex, MCP).
• Understanding of RAG, vector databases, embeddings, and inference techniques.
• Knowledge of prompt engineering techniques (prompt chaining, chain-of-thought, multi-shot).
• Proficiency with developer tools like GitHub Copilot, Cursor AI, Windsurf.

Preferred (Not Required) Experience

• .NET development (C#).
• Familiarity with open-source AI platforms (Hugging Face, Ollama).
• Basic understanding of AI/ML Ops and model hosting.
• Experience with Gen AI evaluation and prompt tuning.
• Cloud platform experience (Azure, GCP, AWS).
• Frontend development for web and desktop UI/UX.
• Understanding of secure authentication (SSO, LDAP) and data handling.
• Financial knowledge or willingness to learn finance basics.
• Basic knowledge of traditional AI, ML, neural networks, and NLP.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Training in Generative AI is advantageous but not essential.

Candidate Profile

• Strong communicator and team collaborator.
• Quick learner, adaptable to new technologies.
• Results-driven with a focus on high-quality solutions.
• Committed to mentorship and team development.
• High integrity and conscientious about compliance and security.

If you're a recruiting agency and want to partner with us, please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data analytics, Trust and Safety, policy, AI/ML, cyber-security, or related fields.

• Experience working in technical and policy challenges of AI systems.
• Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, scripting/programming language (e.g., Python) or AI/ML.
• Experience using statistical analysis and hypothesis testing.
• Experience working on novel AI risks and threat actors engaging in cyber mis-use, societal harms, weaponization, etc.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
• Excellent communication and presentation skills (written and verbal) with the ability to influence cross-functionally at various levels.

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Our Trust and Safety Gemini and Labs team operates at the absolute frontier of technology. We are the stewards tasked with safety for Google's generative AI products and features, ensuring it is developed and deployed with the highest standards of safety and integrity.

In this role, you will not just participate in this mission; you will help lead it, setting the standard for the industry in tackling unprecedented safety challenges at a global scale.

As an Associate Principal, Generative AI, you will be a subject matter expert responsible for architecting our approach to the most complex risks associated with AI. You will go beyond day-to-day analysis and investigations to inform the long-term strategic roadmap for model safety. Your will anticipate future threats, develop novel evaluation paradigms, and influence Google's product and research direction to ensure safety is a foundational, non-negotiable component of our AI systems.

• Lead analyses and investigations to implement next-generation safety mitigations.
• Partner with Engineering, Product, Policy and Legal to set precedents and create robust, scalable, and defensible principles for new AI capabilities. Inform engineering and research teams in building sophisticated technical solutions, from fine-tuning techniques to classifier-based guardrails.
• Analyze the evolving AI threat landscape. Identify and forecast future misuse vectors and adversarial techniques, translating these insights into a proactive mitigation agenda.
• Become the go-to person for issues related to the area of the business and use the domain knowledge to provide partners with insights and analyses.
• Review or be exposed to sensitive or violative content as part of the core role.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Our client is seeking a Machine Learning Engineer/ Artificial Intelligence Engineer to contribute to the development and deployment of advanced ML and AI solutions. This position offers diverse responsibilities, including leading a small team of machine learning engineers and collaborating closely with cross-functional groups to deliver solutions. The successful candidate will be instrumental in driving innovation and leveraging AI/ML expertise to enhance the financial lives of customers worldwide.

Key Responsibilities

Lead and manage machine learning projects from initial concept through to production deployment, fostering relationships with business partners and cross-functional teams. Work closely with business leaders and subject matter experts makers to define success criteria and enhance new products, features and models.

Collaborate with data scientists to interpret, train, and design machine learning models tailored to business needs. Partner with infrastructure teams to enhance the architecture, scalability, and performance of the machine learning platform. Construct optimised data pipelines for efficient feeding of machine learning models.

Extend existing machine learning libraries and frameworks as required for project success. Develop processes, monitoring systems, and governance frameworks to ensure successful operationalisation of ML models. Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for achieving key deliverables.

Establish standards for engineering and operational excellence to ensure a best-in-class ML platform, continuously improving to stay at the forefront of innovation. Design and implement architectural best practices for the delivery of data science use cases.

Skills/Experience Required

Proven experience deploying AI/ML models into production, taking a lead role in these initiatives. Familiarity with AWS SageMaker and Bedrock, and hands-on experience with large language models (LLMs) and Generative AI use cases. Solid practical knowledge of Machine Learning Engineering using Python, Java, and Scala.

Strong foundation in scientific principles such as algorithms, data structures, and multithreading. Experience with Generative AI, including the use of LangChain for Gen AI applications and Retrieval-Augmented Generation (RAG) techniques. Competency with ML and DL libraries such as XGBoost, scikit-learn, TensorFlow, and PyTorch.

Experience building solutions using public cloud platforms (AWS, GCP, or similar) and ML platforms like SageMaker, H2O, or equivalents. Understanding of the ML model development lifecycle, including components such as containers and distinctions between batch and real-time inference endpoints.

Experience developing and deploying production-grade applications with ML inference using automated pipelines on the cloud. Ability to manage relationships in cross-functional environments with multiple stakeholders. Experience working within Agile/Scrum development frameworks. Strong skills in innovation and problem-solving.

Desirable Skills

Experience with search platforms such as Solr or Elasticsearch. Background in building end-to-end recommender systems. Exposure to graph databases and platforms like Neo4j, and experience with CI/CD tools such as Jenkins. Knowledge of the Financial Services, Insurance, or 401K domains. AWS Solutions Architect certification.

Benefits

Competitive salary structure, including bonus, pension, and health care cover. Life insurance, laptop, phone, and access to extensive training resources. Company discounts, on-site parking, and additional employee benefits.

Position Details

Permanent role based in Letterkenny, Co. Donegal. Hybrid working model: three days per week on-site, with the remainder remote if desired.

Candidates must be eligible to work in Ireland or the EU.

For further details or to express interest, please contact David Coyle at or via email