Top AI Jobs in Belfast

Build and maintain internal AI-driven tooling and infrastructure to support GTM (Marketing, Sales, Client Success). Co-own data and integration foundations, rapidly prototype and iterate internal apps, enable non-technical self-serve tooling, and apply product discovery and UX principles while partnering with revenue, data and product teams.

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.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

Architect and build a production, self-improving learning platform: capture event pipelines, measure outcomes, implement recommendation and feedback loops, maintain knowledge graphs and vector stores, build feature stores and experimentation infra, and create evaluation frameworks. Spend majority time coding and shipping resilient systems while providing technical leadership and shielding the engineering team.

Facilitate workshops to define AI agent use cases; design, configure and deploy agents using Copilot Studio and Microsoft AI tools; integrate with Power Platform and enterprise data; test, iterate, scale and hand over solutions while enabling governance, training, and stakeholder alignment.

Design, build, and deploy AI systems (predictive models, NLP, generative AI) from PoC to production. Work with clients to define use cases, prepare large datasets, implement deployment and monitoring pipelines using cloud-native tools, and collaborate with cross-functional teams to operationalize AI solutions.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Senior commercial role to originate, qualify, and convert GPU compute demand across Armada's AI factory and Leviathan deployments. Build and manage a pipeline of offtake, anchor tenancy, and reserved capacity deals; map customer requirements to deployable infrastructure; shape commercial structures and go-to-market; and provide market intelligence to inform site selection, capacity planning, and product strategy.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Lead a central AI function to define enterprise AI strategy, build platform and tooling, embed AI into products and operations, set governance and guardrails, run pilots to production, drive adoption and cost controls, and deliver measurable business outcomes.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

Lead AI strategy and roadmaps for clients: identify high-impact AI use cases, estimate ROI, design implementation plans, manage cross-functional teams, oversee AI integration and due diligence, advise C-suite, and support business development and mentoring.

Customer-facing AI engineer delivering and productionizing GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, present at conferences, and collaborate with product and engineering to shape roadmap and influence priorities.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

Lead AI security technical strategy across customers and field teams. Serve as senior SME in AI security, run discovery workshops, design demos/POVs, create reusable reference architectures, and influence product, PMM, and engineering using field insights. Support strategic engagements, enablement, and thought leadership to scale AI security adoption.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

Manage AI tooling operations, ensuring reliability and performance of AI tools. Drive improvements and uphold technical standards across the AI stack as technology evolves.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The AI Product Designer will develop and optimize player experiences in Avakin Life, focusing on AI-driven design, rapid prototyping, and collaboration with product and engineering teams.

The role involves evaluating AI outputs, providing annotations, and generating culturally relevant content while ensuring quality guidelines are met.