Top AI Jobs in Dublin

Own the AI Gateway product across user onboarding, Gateway credits, provider partnerships, usage-based pricing, enterprise governance, and self-hosted or Cloud deployments. Define model and service offerings, negotiate vendor agreements, shape capabilities such as virtual keys, budgets, policies, reporting, and audit, and lead cross-functional collaboration with engineering, design, sales, finance, security, and enterprise customers.

Own end-to-end go-to-market execution, including offer development, positioning, landing pages, paid advertising, outbound campaigns, email sequences, lead generation, experimentation, and funnel analysis. Use AI tools and automation to scale marketing systems, drive sales and business development, improve product-market fit, manage customer relationships, and productize services globally. The role works closely with company co-founders and offers potential equity or revenue participation.

Software Engineering Interns complete scoped technical projects, write tested and documented code, and contribute to Pinterest products and infrastructure. They collaborate with mentors and cross-functional teams, learn large-scale systems, participate in professional development, and use AI responsibly in engineering workflows. Candidates must be pursuing a bachelor’s degree in computer science or a related field, demonstrate computer science fundamentals, have coding experience in relevant languages, and be available onsite in Dublin two to three weekdays weekly during the summer 2027 internship.

Design and build automation for NVIDIA switches and InfiniBand fabrics, including configuration management, drift reconciliation, NAT gateways, L4 load balancing, and failover. Define network behavior at scale across BGP, VXLAN, EVPN, and AI workloads. Operate the automation in customer environments, improve reliability based on production failures, and establish networking architecture and technical standards. The role requires strong network automation, NVIDIA networking, fabric fundamentals, production-scale operations, and Go or Python software engineering.

Own end-to-end architecture for enterprise AI-powered customer experience programs. Design secure, scalable integrations across Genesys Cloud, AI services, enterprise applications, data platforms, and third-party technologies. Lead architecture workshops, technical governance, responsible AI planning, and stakeholder discussions. Mentor consultants and develop reusable architectures, standards, and best practices while advising customers and delivery teams on virtual agents, agent copilots, knowledge systems, automation, and analytics.

Leads HPE’s EMEA Networks for AI sales organization, driving revenue growth, market share, quota attainment, pipeline development, strategic account planning, and consultative solution selling. Oversees sales coverage, partner engagement, resource allocation, forecasting, and customer executive relationships. Develops sales talent, coaches teams, manages business investments, and coordinates cross-functional efforts to expand market opportunities and deliver profitable growth.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Build and maintain AI platform infrastructure, including LLM proxies, AI key management, observability pipelines, autonomous agents, MCP services, and an internal plugin marketplace. Develop reliable backend systems and developer tooling, collaborate across engineering and product teams, and promote agentic development practices. The role requires experience with scalable services, LLM-powered agents, distributed systems, cloud infrastructure, prompt engineering, and AI coding assistants.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor by assessing reasoning, explanations, engineering judgment, and overall interaction quality. Provide detailed written and recorded feedback, distinguish response quality levels, and help define standards for excellent AI-assisted development workflows. This flexible, remote contract requires strong software engineering experience, familiarity with modern AI development tools, rigorous subjective judgment, and excellent English communication.

Own Workvivo’s organic search and AI search strategy across four global regions, connecting visibility to pipeline growth. Responsibilities include technical SEO audits, internationalization, content strategy and editing, AI answer engine monitoring, measurement frameworks, and monthly reporting to senior leadership. The role partners with web, engineering, revenue operations, communications, and marketing teams to improve search performance, lead attribution, and regional share of voice.

Build and deploy real-time voice and video AI models, including speech-to-speech, multimodal, and audiovisual systems. Adapt and fine-tune pretrained models, develop evaluation and data pipelines, optimize GPU inference for latency and cost, and deliver production features across backend APIs, databases, and customer portals. Own projects end to end while using coding agents and development harnesses to improve implementation, testing, debugging, and review.

Own go-to-market for Telnyx’s AI Compute portfolio, including inference, embeddings, AI Gateway, Decision Models, and dedicated GPU infrastructure. Responsibilities include product positioning, launches, benchmarking, inference economics, competitive campaigns, lifecycle activation, demand-generation programs, sales enablement, analyst relations, and customer storytelling. The role partners closely with product, engineering, sales, and demand generation while improving marketing workflows through autonomous agents and automation.

Leads OKX’s global marketing compliance function, building policies, controls, review and approval processes, monitoring programs, and regulatory change management for advertising, promotions, social media, influencers, affiliates, and product launches across CeFi and DeFi. Partners with Marketing, Product, Legal, Risk, and Compliance teams; manages incidents, supports audits, delivers training, and scales the compliance team and framework.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Build and deploy reliable, measurable, and safe AI agents for real business workflows. Work within Marketing Engineering and growth pods to identify problems, develop end-to-end solutions, evaluate LLM performance, and measure business impact. The role involves productionizing agent systems beyond demos, using Python, SQL, LLM APIs, and orchestration tools, with potential integration into go-to-market data and marketing systems.

Leads research and thought leadership on AI-driven HR strategy, transformation, governance, workflow redesign, regulatory environments, and value realization. Produces actionable insights across written, visual, video, and presentation formats; advises CHROs and senior HR leaders; analyzes market trends, vendors, technologies, and client challenges; supports sales and conferences; mentors analysts; and improves research processes.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Build and scale low-latency AI serving infrastructure for SLMs, prompt-injection engines, and classification services. Architect GPU-accelerated inference pipelines, backend microservices, Kubernetes clusters, rate limiting, tenant guardrails, monitoring, and autoscaling systems. Develop continuous evaluation, retraining, model CI/CD, regression gates, and MLOps/LLMOps pipelines while improving service reliability, latency, cost efficiency, and detection quality.

Drive AI transformation by selling Microsoft AI Business Solutions (Copilot, Copilot Studio, Viva, Cloud PC/Virtualization). Engage business decision makers with consultative selling, build ROI-based cases, coordinate cross-functional teams, grow Copilot adoption and frontline worker solutions, and support partner-led motions to close deals while maintaining account plans and compliance.

MBA summer associates join Roland Berger for an 8–12-week internship, contributing to real client projects with consulting teams across global offices. Responsibilities involve strategic work, analytical and creative problem-solving, teamwork, entrepreneurial thinking, and applying AI-based solutions and data skills to complex business challenges. High-performing interns may receive full-time offers.

Leads global AI engineering teams delivering secure, scalable AI capabilities from experimentation through production. Owns engineering strategy, architecture, portfolio planning, MLOps and LLMOps standards, production reliability, responsible AI, customer engagements, and talent development. Provides hands-on technical leadership across machine learning, generative AI, RAG, agentic systems, cloud, edge, and enterprise software while aligning delivery with customer value and business priorities.

Leads global AI engineering teams delivering secure, scalable AI capabilities from experimentation through production. Responsibilities include AI strategy, architecture, hands-on technical reviews, MLOps and LLMOps, cloud and edge deployment, responsible AI governance, portfolio planning, customer engagement, hiring, talent development, and organizational scaling. The role oversees enterprise AI systems involving machine learning, generative AI, RAG, computer vision, NLP, and agentic AI.

Manages enterprise AI platform operations, governance, security, reliability, service performance, incident management, releases, environments, vendors, and AI FinOps. Coordinates with engineering, data science, architecture, cybersecurity, finance, and business teams to maintain compliant, efficient platforms across Microsoft and Google AI ecosystems. Drives automation through GitHub, operational governance in ServiceNow, reporting, root cause analysis, and continuous service improvement.

Own the production improvement loop for Elastic’s Context Engine, improving AI agents, automations, retrieval, memory, telemetry, and evaluation. Design safe rollout processes, regression coverage, experiments, and quality, latency, and cost evaluators. Build production code in TypeScript or Python, collaborate with data science and product teams, mentor engineers, review designs, and influence the roadmap for agentic behavior and enterprise AI products.