Top AI Jobs in Dublin

Build, automate, secure, and operate cloud platforms supporting enterprise generative AI, LLM, RAG, and agent-based solutions. Develop Terraform infrastructure modules, CI/CD and GitOps pipelines, Kubernetes platforms, secure runtime patterns, AI integrations, observability, evaluation controls, and self-service capabilities. Partner with AI, application, data, security, privacy, risk, and architecture teams to move AI solutions from proof of concept to reliable, governed production services.

Build, deploy, and improve production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop efficient models and pipelines, optimize accuracy, latency, cost, and reliability, fine-tune existing models, monitor production performance, and use real-world feedback to drive improvements. Collaborate with engineering and product teams to deliver reliable AI-powered features.

Build and deploy full-stack AI and ML applications for strategic enterprise customers. Partner with technical and executive stakeholders to move AI and agentic use cases from prototypes to production, design scalable architectures, establish reusable solution patterns, and advise on AI roadmaps. The role also includes mentoring teams, supporting internal enablement, informing product strategy, and occasional customer travel.

Leads ABC Fitness’s global People Operations and Experience strategy, including operating model design, talent management, learning and development, leadership development, employee experience, people technology, analytics, AI enablement, communications, and employee engagement. Partners with executive and cross-functional leaders to simplify processes, improve service delivery, build scalable systems, strengthen People leadership, and connect workforce investments to business outcomes, productivity, risk, and organizational effectiveness.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Drive new-logo acquisition for Axway’s AI Gateway and Amplify portfolio across large enterprise and regulated-industry accounts. Responsibilities include strategic prospecting, executive engagement, pipeline creation, complex enterprise sales, business-case development, technical validation, negotiation, and contract closure. The role focuses on API security, governance, AI adoption, enterprise integration, and digital transformation, while collaborating with presales, product, marketing, partners, and executives.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.

Build and lead n8n’s internal AI and automation enablement function. Run recurring workshops, office hours, build-alongs, bounty hunts, hackathons, and dogfooding initiatives for technical and non-technical teams. Develop reusable templates, measure AI fluency and adoption, support cross-functional champions, and act as product owner for a safe internal automation playground. Partner with IT, Security, Data, and Solutions Engineering to define access, credential, and environment requirements.

Own and improve Clipboard’s internal operations tooling ecosystem by building workflows, integrations, and automations. Partner with Engineering and Operations leaders to define requirements, write technical specifications, prioritize initiatives, troubleshoot production issues, improve system reliability, and introduce AI-driven solutions that increase operational efficiency and scalability.

Provides legal counsel for SaaS products, commercial contracts, privacy, data protection, and global AI regulation. Advises Sales and Engineering during contracting and product development, negotiates data protection agreements, conducts privacy and risk assessments, develops compliance programs, monitors AI legislation, works with regulators, trains employees, and mentors a junior legal associate.

Provide privacy and AI legal guidance across EMEA, including negotiating data processing agreements, developing global privacy programs, preparing impact assessments, monitoring privacy and AI regulations, and supporting EU AI Act and UK AI governance compliance. Partner with product, engineering, security, commercial, sales, and compliance teams on AI system classification, risk assessments, governance controls, transparency, accountability, and human oversight.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Build and scale internal AI tools and agents that integrate the SaaS stack into company workflows. Identify high-leverage automation opportunities, design and ship production-grade Python systems, ensure governance and security, drive adoption through training, and iterate on AI architecture and tooling.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Own the full sales cycle for startup customers across EMEA, from outbound prospecting through launch. Drive revenue and quota attainment through consultative, technical sales of Anthropic’s AI solutions. Develop market-expansion strategies, identify customer segments and use cases, negotiate complex agreements, gather feedback to inform product roadmaps, and help establish regional go-to-market processes, playbooks, and sales methodologies.

Drive enterprise sales of Microsoft Azure cloud and AI solutions to French-speaking customers. Serve as a trusted technical advisor, understand business needs, develop customer and partner relationships, orchestrate technical demonstrations, build pipeline, guide digital transformation, and close deals. Collaborate with account teams, technical specialists, consultants, and partners to promote secure migrations, analytics, data platform modernization, application modernization, infrastructure modernization, and AI readiness while achieving Azure revenue targets.

Six-month technology internship supporting AI-native data platform engineering. The intern will help build AI agents, MCP integrations, RAG solutions, APIs, data pipelines, cloud-native services, governance controls, monitoring, and self-service data discovery tools. The role involves Java and Python development, Azure technologies, distributed data processing, testing, CI/CD, documentation, experimentation with emerging AI technologies, and collaboration with data, application, platform, and business teams.

Entry-level graduate role supporting the design and development of AI-ready data platforms. Responsibilities include building AI agents, MCP integrations, APIs, RAG solutions, data pipelines, cloud-native services, analytics tools, governance controls, monitoring, testing, and documentation. The role involves collaborating with data and platform teams, researching emerging AI technologies, and applying secure software engineering practices.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Graduate engineering opportunities across Analog Devices’ Ireland locations in electronics, semiconductor, software, AI, robotics, manufacturing, research, quality, and supply chain. Graduates may work in IC design, embedded software, verification, RF design, process engineering, testing, packaging, reliability, and related functions. The program includes rotations, learning opportunities, relocation assistance, and access to advanced facilities. Recruitment begins in September 2026 on a rolling basis. No travel is required.

Graduate software engineering opportunities involving embedded software, software systems, software development, AI, machine learning, UI/UX design, and cloud architecture. Graduates collaborate with hardware teams on planning, system architecture, development, troubleshooting, debugging, and testing across applications including IoT, automotive radar, healthcare monitoring, and 5G. The role includes a graduate rotation program, learning opportunities, and exposure to advanced semiconductor technologies.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

Own the technical infrastructure for an AI-assisted content and design operation. Responsibilities include selecting tools, building automation pipelines, orchestrating agents, designing multistep content workflows, integrating UIs with databases and external tools, maintaining modular systems, reducing manual work, and shaping architecture and roadmap decisions with leadership. The role requires production coding, API integrations, database and vector-search design, RAG implementation, workflow automation, and strong content judgment.