Top AI Jobs in Dublin

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Lead testing strategy for AI-powered legal products: build evaluation frameworks, design test plans, measure AI outputs, run regression and UAT, identify risks, and partner with engineering to improve quality and scale the testing function.

Lead technical pre-sales engagements for mid-market customers, delivering PoCs, hackathons, and architecture workshops to modernize applications with Microsofts AI and cloud-native platforms. Advise on secure, scalable AI application design, resolve technical blockers, and promote adoption of AI Foundry, Agentic AI, Semantic Kernel and cloud-native patterns to accelerate production deployments.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

The AI Inference Engineer optimizes large language models for various environments, focusing on performance, scalability, and reliability in AI inference serving.

The AI Infrastructure Engineer will develop systems for model training and inference, optimize GPU performance, and mentor junior engineers, contributing to AI products at scale.

As Engineering Manager for AI Models Infrastructure, you will lead a team responsible for building foundational infrastructure for AI products while contributing directly to production code and enhancing developer experience.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

Join Intercom's AI Group as a Staff Product Engineer to build AI-powered products, collaborating with ML Scientists and product teams, and driving software development from ideation to implementation.

Lead delivery and operations of ICON's central AI platform, multi-agent framework, and agent services. Ensure production-grade reliability, scalability, security, observability, CI/CD and MLOps practices. Build and mentor cross-functional engineering teams, manage multiple AI programmes, embed responsible AI and compliance, and partner on strategic roadmaps and evaluation of emerging AI tools.

The Senior Software Engineer will lead application modernization efforts, leveraging tools and techniques including Generative AI to enhance software architectures and implement MongoDB solutions for clients.

Lead EMEA pre-sales technical lifecycle for AI assurance, architect multi-model enterprise AI solutions, engage GSIs and regulated clients, translate requirements to product/engineering, run customer deep-dives, and build the regional pre-sales playbook while traveling frequently to London and Dublin.

Lead the digital and AI design agenda: define strategy and roadmap, discover and re-engineer processes, translate opportunities into solution definitions, and build a high-performing team while ensuring governance, compliance and stakeholder adoption across fund administration and operations.

Lead development of advanced ML and deep learning methods for drug discovery. Design, implement, and scale AI models and foundation-model adaptations, collaborate with scientists to translate outputs into hypotheses, track model impact, and drive cross-functional adoption of AI solutions.

Lead the Shopping and Billing Experience teams, focusing on core systems, reliability, customer experience, and mentoring engineers. Drive technical strategy and deliver innovative solutions.

Design, build, and deploy production-grade agentic AI systems at enterprise scale. Lead client engineering engagements, define RAG and multi-LLM standards, own LLMOps (eval, prompt governance, observability), implement cloud-native architectures, and publish reusable patterns. Manage and develop engineering teams and measure agentic system quality across accuracy, latency, safety, and cost.

Lead AI strategy and productize AI/ML solutions across biopharma manufacturing, quality, and supply chain. Prioritize use cases, govern proofs‑of‑concept to scale, integrate AI into MES/ERP/LIMS/QMS/APS/WMS, ensure GMP/GxP compliance and model governance, drive adoption, measure business impact, and build cross‑functional talent and vendor partnerships.

Lead finance analytics, own the finance data warehouse and BI, build a reporting Center of Excellence, create and implement a Finance AI automation roadmap, optimize GCP costs, establish data pipelines and AI model foundation, ensure data governance and audit readiness, and manage a small cross-functional team to deliver self-service financial analytics.

Support partners, internal teams and customers across EMEA to design, prototype, integrate and implement AI agent solutions using Microsoft technologies (Copilot, Copilot Studio). Deliver proofs of concept, advise stakeholders on implementation approaches, collaborate with sales/technical teams, share best practices, and explain technical concepts to non-technical audiences. Maintain awareness of Microsoft AI developments and security considerations; travel occasionally across EMEA.

Technical lead for evolving Tenable's multilingual delivery platform toward AI/LLM-led localization. Own architecture and hands-on delivery of event-driven, API-first translation pipelines, integrate LLMs into workflows, extend AI pipelines across product UI and content types, define governance and standards, build AI-powered reporting, and coordinate distributed engineering and vendor partners.

The AI Inference Engineer optimizes Large Language Models for inference in diverse environments, ensuring high performance and reliability through optimized deployment, hardware acceleration, and scalable architecture.

Lead AI-driven resilience assurance initiatives, utilizing predictive analytics and real-time monitoring to enhance compliance and organizational resilience. Develop autonomous systems for continuous audits and dynamic maturity assessments, translating insights into actionable strategies for stakeholders.

Lead Vertical AI transformation and optimize marketing sites. Oversee AI tools, manage projects, establish best practices, and enhance site performance.

The role involves driving AI transformation in marketing, managing digital platforms, implementing tools, and ensuring best practices for public marketing sites.