Top AI Jobs in Belfast

Leads client engagements delivering data, analytics, automation, and AI solutions for complex programmes and business operations. Responsibilities include defining requirements, designing data processes and pipelines, resolving data quality issues, providing technical delivery assurance, applying generative AI and LLM solutions, managing stakeholders, supporting proposals, and mentoring teams. The role also contributes to reusable methods, documentation, innovation, and client relationship development.

Lead AI and experience orchestration sales initiatives, supporting account teams with technical expertise, deal strategy, territory planning, customer workshops, proofs of concept, proposals, and executive presentations. Serve as a subject matter expert for AI-powered customer experience and conversational AI solutions, coordinate cross-functional teams, influence opportunity progression, and develop AI-led pathways aligned with customer objectives.

Produces daily 60–90 second AI-generated micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include developing striking visuals, consistent characters, natural voices, audio, purposeful editing, and story-driven visual styles. The role requires prompt engineering, strong editing fundamentals, independent execution, fast delivery, and familiarity with vertical video. Experience in traditional video production, dramaturgy, end-to-end AI video creation, and short-form drama is advantageous.

Create daily 60–90-second vertical micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts using AI video, image, and audio tools. Generate scenes, edit footage in 9:16 format, maintain character consistency, synchronize music and sound effects, add captions and overlays, and optimize exports for social platforms. The role requires prompt engineering, visual composition, and editing skills, with traditional production and storytelling experience considered advantageous.

Leads Colibri’s applied AI capability, setting technical direction, engineering standards, propositions, and team strategy. Guides AI discovery, solution design, client conversations, pre-sales, delivery, and commercial growth. Oversees production AI, architecture, MLOps/LLMOps, testing, evaluation, security, governance, and reusable intellectual property. Mentors senior engineers, develops the practice, builds market presence, and ensures AI solutions are secure, scalable, commercially viable, and production-ready.

Lead the AI function, define roadmap, and build production generative AI systems (voice, chat, document). Split time between hands-on engineering (~40%) and leading the AI team, establishing RAG/agentic workflows, evaluation, observability, and best practices. Collaborate with product and engineering to deliver reliable, user-focused AI features.

Leads large-scale AI-enabled ERP, CRM, automation, and business process engagements under Statements of Work. Ensures delivery excellence, customer satisfaction, business value, budget, timelines, governance, and responsible AI practices. Coordinates architects, consultants, partners, and specialists across technical and functional disciplines. Manages executive stakeholders, risks, scope, communications, conflict resolution, and complex project lifecycles while supporting strategic business development and expansion opportunities.

Leads complex enterprise customer engagements as a senior technical authority for data and AI architecture. Drives Databricks adoption, consumption strategy, executive relationships, competitive positioning, and large-scale architecture initiatives including migrations, real-time systems, lakehouse platforms, and AI/ML. Orchestrates cross-functional teams, mentors solutions architects, influences senior stakeholders, and contributes to technical thought leadership.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Lead developer relations across EMEA AI Natives by advising partners, startups, and developers on NVIDIA technologies. Demonstrate AI and computing solutions, create technical enablement resources, guide onboarding and integrations, map ecosystem opportunities, and influence product roadmaps through partner feedback. Collaborate with engineering, product, marketing, sales, and legal teams while delivering technical talks, workshops, mentorship, and strategic developer programs.

Own production NLP and applied AI systems that enrich scientific literature with entities, classifications, claims, and summaries. Design and evaluate classical NLP, embedding, retrieval, and LLM approaches; build scalable Python pipelines; manage cost, concurrency, reliability, and model quality. Collaborate with data engineers on Airflow and Dagster orchestration, contribute to agentic AI applications, and work with editors, product managers, and engineers to deliver research intelligence to users.

Build and operate NLP enrichment pipelines over scientific literature, extracting entities, classifications, claims, and summaries. Compare classical NLP, retrieval, embedding, LLM, and fine-tuned model approaches using evaluations, cost, quality, and operational metrics. Create golden datasets, define evaluation strategies, contribute to agentic AI applications, and collaborate with editors, product managers, engineers, SMEs, and vendors to deliver production modeling systems.

Build and operate production AI systems for go-to-market teams, including account segmentation, scoring, enrichment, buying-signal detection, agentic workflows, prospect research, outbound personalization, call summarization, and CRM hygiene. Own solutions end to end from design through deployment, while optimizing quality, latency, cost, reliability, evaluation, monitoring, and guardrails. Collaborate closely with Marketing, Sales, RevOps, and system users to deliver measurable commercial impact.

Leads Workday HRIS solution design, configuration, testing, implementation, reporting, security, and support across Core HCM, Talent, and Recruiting. Builds AI-enabled HR automation, ensures data governance and compliance, mentors analysts, manages releases and projects, and advises HR leaders on technology strategy and process improvements.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, internal tooling, evaluation systems, spend controls, identity and access controls, provisioning, vendor configuration, and policy enforcement. Provide technical enablement through documentation, deep dives, and office hours while supporting teams and administering the enterprise AI estate.

Design, train, and evaluate large multimodal and vision-language-action models for robotic agents. Develop reinforcement and imitation learning methods, embodied datasets, simulation environments, world models, planning systems, and sim-to-real experiments. Build robust research software and distributed training infrastructure, validate approaches on physical robots, and collaborate with research and engineering teams to deploy reliable systems. Communicate findings through technical reports, open-source releases, demonstrations, and publications.

Lead field-facing AI security strategy for enterprise customers by designing secure LLM/RAG architectures, delivering demos and POVs, advising on data protection and unsanctioned AI usage, and scaling enablement and product feedback across sales, product, and engineering teams.

Own the strategy, requirements, evaluation, and reliability of AI agent products. Partner with ML, backend, and mobile engineers to make trade-offs across quality, latency, cost, UX, and reliability. Define offline and online evaluation frameworks, incorporate human feedback, guide prioritization, and ensure AI features are understandable, predictable, safe, and trusted by users.

Own the end-to-end product strategy and execution for AI agent systems. Define technical and behavioral requirements, evaluate model performance, guide trade-offs across quality, latency, cost, reliability, and user experience, and partner closely with ML, backend, and mobile engineers. Establish evaluation frameworks, prioritize roadmaps, drive rapid and safe delivery, and ensure AI features are predictable, trustworthy, and valuable to users.

Own ElevenCreative’s agency and platform partnerships from 0 to 1. Identify strategic partners, build senior relationships, define commercial models, enable adoption, develop integrations and joint go-to-market programs, and convert partnerships into measurable product usage and revenue. Collaborate with Sales, Product, Marketing, and Engineering while monitoring AI creative trends, customer needs, and competitive dynamics.

Deliver live workshops and applied labs on AI-assisted visual, video, document, and interactive content production. Demonstrate tools and workflows, guide learners through practical projects, provide structured feedback, and help participants adapt methods to professional environments. Collaborate with the course team to develop templates, exercises, checklists, and case studies while continuously improving course materials based on learner feedback and evolving AI capabilities.

Designs, builds, and evaluates research prototypes and production-ready systems for portable AI agents, model routing, provider interoperability, memory, retrieval, tool use, and multi-agent workflows. Responsibilities include developing evaluation frameworks, conducting statistically rigorous experiments, creating schemas and APIs, optimizing model and agent systems, and translating research into secure, reliable, reusable components. The role collaborates across research, infrastructure, security, product, and engineering teams and communicates findings through technical reports, benchmarks, demonstrations, open-source releases, and publications.

Operate from the CEO Office to translate CEO priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, owners, decisions and blockers; prepare briefs and action trackers; coordinate cross-functional teams; identify and close execution gaps; and own urgent business problems that cut across departments.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.

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.