Top AI Jobs in Dublin

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Provide EU-focused counsel on AI and privacy regulation (EU AI Act, GDPR, DSA); draft policies, DPA and contractual terms; translate legal requirements into technical and operational controls; advise product, engineering, and go-to-market teams; liaise with regulators and manage compliance programs and risk assessments.

As an AI Product Manager, you will define product roadmaps, collaborate with cross-functional teams, and optimize AI solutions to meet user and business needs.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Sell Salesforce Marketing Cloud and AI-driven solutions to SMB customers. Own full sales cycle from prospecting and pipeline development to forecasting and closing. Position Einstein AI and Agentforce to drive customer marketing transformation, collaborate with solution engineers and partners, maintain CRM data, and grow accounts through upsell and new business acquisition while delivering consistent quota achievement.

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Provide research and advisory to global CFOs and Controllers on transforming controllership processes (AP, AR, financial close) using AI, automation and finance technologies; produce published research, vendor evaluations, and client-facing presentations; collaborate with analysts and deliver strategic, actionable recommendations to improve financial reporting and automation outcomes.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

Lead client engagements to design and implement Microsoft Purview and Microsoft 365 Copilot governance and readiness. Deploy sensitivity labels, DLP, retention, eDiscovery, audit controls, run stakeholder workshops, translate requirements into business outcomes, and support secure AI workplace adoption across Microsoft 365 services.

Lead multiple teams building the Guidewire Cloud Platform and Jutro Digital Platform (JDP). Drive technical excellence across frontend (React, Module Federation) and backend (Java/Kotlin, Spring Boot) microservices on AWS and Kubernetes, champion AI-assisted Spec-Driven Development, manage delivery, hiring, incident response, and mentor engineers to improve quality and velocity.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

Design polished, mobile-first interfaces and prototypes for BJAK's AI and financial products. Convert requirements into wireframes, flows and high-fidelity UI, evolve the design system, collaborate with PMs and engineers, iterate using user feedback and analytics, and ensure accessibility, responsiveness and visual consistency across devices.

Design, build, and deploy production-scale AI solutions (LLMs, RAG, agents, knowledge graphs) across Workday products. Integrate and optimize models, manage lifecycle, ensure performance, observability, security, and collaborate with product and ML teams to deliver user-focused AI features.

Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.

Own AI workflows product: discover and validate AI use cases with customers, define roadmap and specs, create reusable blueprints with engineering, and prioritize what not to build.

As an AI-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

Senior Director analyst providing thought leadership and actionable research on infrastructure and operations AI strategy. Produce insights, presentations, and client advisories; guide AI infrastructure, cloud adoption, integration, governance, and vendor selection. Lead research agenda, mentor analysts, collaborate cross-functionally (infrastructure, engineering, enterprise architecture, cybersecurity), support sales, and represent Gartner at events. Drive process improvements and influence senior stakeholders to align infrastructure and operations with business outcomes.

The candidate will design and implement software incorporating machine learning algorithms, optimize data pipelines, develop APIs, and provide mentorship to Junior Engineers.

The AI Support Engineer will solve complex customer issues, provide technical support for OpenAI products, and improve internal processes using AI and scripting.

Build and maintain scalable, resilient APIs and backend services for agentic AI use cases. Design contract-first APIs (OpenAPI/Swagger), ensure routing, auth, validation, transformation, and error handling. Improve observability, performance, and reliability; write tests and docs; own services end-to-end; mentor peers and collaborate across teams to enable AI-driven workflows.

Lead AI Business Analyst drives AI-driven transformation across global programs by identifying and implementing AI use cases, defining system-level specifications, leading pilots, designing AI-enabled workflows/dashboards, and partnering with IT and stakeholders to deliver measurable business value in insurance operations.