Top AI Jobs in Dublin

Lead end-to-end product ownership for AI-powered features for SME-focused products. Define EPICs and user stories, collaborate with engineering, design and data science, support LLM and agentic workflows, run discovery and experimentation, and steer delivery to meet scope, budget and timeline.

Lead end-to-end product ownership for AI-powered, agentic solutions for SMEs. Define EPICs, user stories, and acceptance criteria; support LLM-powered features, conversational experiences, and workflow automation. Partner with engineering, design, and data science; run discovery, user research, experimentation, and manage delivery against budget, scope, and timelines.

Lead end-to-end product ownership for AI-powered solutions for SMEs, define EPICs and user stories, support LLM and agentic feature development, collaborate with engineering/design/data science, conduct user research and experimentation, and ensure delivery within budget and timelines.

Lead strategy, development and commercialization of AI-powered products for SMEs. Own product features, define epics and user stories, support LLM/agentic features, partner with engineering, design and data science, run discovery and experimentation, manage delivery against budget and timelines, and communicate with diverse stakeholders. Hybrid role based in Dublin with some travel.

Lead end-to-end product ownership for AI-powered features, defining EPICs and user stories, partnering with engineering, design, and data science to build LLM-powered conversational and agentic workflows, conduct discovery and experimentation, and ensure timely delivery, compliance with budget and timelines, and clear stakeholder communication.

Lead end-to-end product ownership for AI-powered solutions targeting SMEs: define EPICs and user stories, support LLM and agentic feature development, partner with engineering/design/data science, run discovery and experimentation, steer delivery to roadmap, budget, and timelines, and communicate across technical and non-technical stakeholders.

Lead end-to-end product ownership for AI-powered features (LLM and agentic workflows). Define EPICs and user stories, partner with engineering, design, and data science, run discovery and experiments, steer delivery to scope/budget/timeline, and communicate with technical and non-technical stakeholders.

Lead end-to-end product ownership for AI-powered solutions, define EPICs and user stories, partner with engineering/design/data science, support LLM and agentic features, run discovery, and ensure timely delivery and compliance with budget and timelines.

Lead end-to-end product development for AI-powered solutions for SMEs, define EPICs and user stories, support LLM and agentic features, partner with engineering, design, and data science, run discovery and experimentation, and ensure delivery on budget and timeline.

Lead end-to-end product ownership for AI-powered solutions targeting SMEs. Define EPICs and user stories, support LLM and agentic features, coordinate engineering, design, and data science, drive discovery and experimentation, and manage delivery against scope, budget, and timelines.

Lead cross-functional transformation initiatives across UKIMEA by identifying AI, automation and technology opportunities, gathering requirements, facilitating workshops, redesigning processes, developing roadmaps, measuring outcomes, and driving change with stakeholders to deliver measurable business value.

Design, build, and maintain secure, scalable employee-facing software and AI-enabled tooling. Lead implementation of AI-assisted engineering practices, collaborate cross-functionally, apply CI/CD and cloud-native patterns (preferably AWS), and ensure resiliency, security, and validation standards across the SDLC.

Build and enhance full-stack, cloud-native applications focused on Java, integrating LLM/generative AI and IoT device data. Design and deliver microservices, ensure operational stability, troubleshoot production issues, create architecture artifacts, analyze large datasets, and integrate smart-building and edge computing solutions to improve user experiences and efficiency.

Build and lead AI platform infrastructure including LLM proxy, key management, observability, MCP services, autonomous agents and plugin marketplace. Architect, deliver, and evangelize agentic tooling, mentor engineers, and partner with product teams to expand AI foundations across the company.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Lead complex data science projects to improve healthcare outcomes by building data solutions, collaborating with teams, and mentoring staff.

As a Principal Software Engineer, you will architect and lead AI Foundations projects, mentor engineers, and ensure quality standards across the AI platform.

Own and operate the International Commercial build engine from data foundation to production AI. Deliver governed data platforms, reusable agentic AI and production-grade engineering via a shared deployable pool, vendor/SI management, platform integration with CIO, AI evaluation/red-teaming, AgentOps, run/BAU, observability, cost control and cross-functional stakeholder alignment to ensure reliable, compliant, and reusable solutions in production.

As a Principal Software Engineer, you will lead full-stack design of AI solutions, drive architecture, mentor engineers, and collaborate across teams to solve complex problems at Toast.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Drive enterprise AI adoption in Poland by engaging customers, qualifying opportunities, proposing AI-driven solutions (Copilot, intelligent agents), coordinating account teams and partners, delivering demonstrations/workshops, and providing competitive insights to close high-impact deals and enable customer success.

Design, build, and deploy production AI/ML solutions including transformer and generative models. Implement data pipelines, feature engineering, training workflows, model serving, and MLOps practices. Collaborate with product and engineering teams, participate in code reviews, troubleshoot and optimize models in production.