Top AI Jobs in Belfast

Design and build scalable AI platform capabilities on Azure and Databricks, produce technical designs, develop reusable platform components, optimize performance/cost, and collaborate across engineering, architecture, and product teams to deliver model hosting, data integration, APIs and enterprise-grade platform services.

Contract, part-time remote role to review, analyse, and draft complex fund formation, M&A, finance, technology, and commercial agreements. Annotate LPAs, side letters, SPAs, APAs, DPAs, MSAs, NDAs; assess risks, draft sample clauses, evaluate SaaS/cloud and data privacy contracts, and provide clear, practical feedback to improve AI training materials.

Lead global R&D to define technical strategy and roadmaps, prioritize AI-driven modernization, manage engineering and test teams, oversee AI/ML model validation in regulated clinical environments, own R&D budgeting and vendor partnerships, ensure regulatory compliance, and drive operational excellence and ethical AI adoption to improve clinical trial outcomes.

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Lead Mark43's AI-enabled engineering initiative by designing and orchestrating multi-agent systems that plan, write, review, test, and deploy software. Write prompts, scaffolding, and tool integrations (VCS, test runners, internal APIs), evaluate agent performance, prototype LLM-based workflows, collaborate cross-functionally, mentor teammates, and contribute to on-call rotations.

Build production AI-powered tools, data pipelines, and internal full-stack applications that automate incident investigation, surface anomalies, and enable AI agents to interact safely with platform systems. Work across Python, TypeScript, Go and SQL, deploy on Docker/Kubernetes/AWS, and collaborate with TechOps, Connectivity, and Data teams to own, monitor, and improve shipped systems.

Full-stack AI/ML Software Engineer to build HealthTech SaaS microservices, implement and integrate ML solutions, write high-quality code, author documentation, perform code reviews, and act as an SME on services and systems.

Provide research and advisory to global CFOs and Controllers on transforming controllership processes (AP, AR, financial close) using AI, automation and finance technologies; produce published research, vendor evaluations, and client-facing presentations; collaborate with analysts and deliver strategic, actionable recommendations to improve financial reporting and automation outcomes.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

Define and lead the enterprise AI operations model, govern model lifecycle (onboarding, deployment, monitoring, retraining, retirement), own AI product performance and reliability, drive cost transparency/optimization across Azure and Databricks, and lead incident, change, resilience, and responsible AI processes to ensure trusted, secure, compliant production services.

As an AI Content Manager, you'll oversee content production, design workflows, ensure quality across languages, and leverage AI to enhance content output.

Define and lead the enterprise AI operations model and governance. Own operational performance, monitoring, adoption, reliability, and business value of AI products. Drive cost transparency and optimisation across Azure, Databricks and inferencing. Govern model lifecycle (onboarding, deployment, monitoring, retraining, upgrades, retirement) and lead incident, change, resilience, and responsible AI processes to keep production services secure and compliant.

Lead AI architecture for an agentic LLM assistant (Protege) in PatentSight+. Define AI architecture, evaluate models and platforms, design retrieval/vector search and RAG pipelines, author ADRs, establish prompt engineering and evaluation frameworks, ensure security/privacy/compliance, and partner with product, data, and platform teams to deliver production-grade AI systems.

Senior individual contributor researching how threat actors weaponize AI across the attack lifecycle. Instrument telemetry, analyze global data and OSINT, develop detections, automate research workflows with LLMs and scripting, and publish external threat intelligence to inform protections and operations.

Design polished, user-centric mobile and web interfaces for BJAK's AI and financial products. Create wireframes, flows, prototypes and high-fidelity UI, evolve the design system, collaborate with PMs and engineers, iterate using user feedback and analytics, and ensure accessibility, responsiveness and visual consistency.

Design and build core backend systems for an agent platform: orchestration, durable execution, memory, tool integration, observability, and evaluation. Create scalable services/APIs, develop retrieval and long-term memory solutions, monitor and improve agent behavior, and help drive technical direction and team growth for AI-driven collaboration features.

Design, build and optimize generative AI content solutions across text, image, video and 3D. Develop prompt engineering, RAG and multimodal workflows, automated visual pipelines, and governance for brand-safe, production-ready AI content in partnership with Marketing, Creative and Product teams.

Design and deploy AI-powered content generation systems across text, image, video and 3D. Develop prompt engineering, RAG and multimodal workflows, build visual content pipelines, partner with stakeholders to productionize solutions, and implement governance, quality and responsible AI practices.

Lead finance analytics, own data warehouse strategy and governance, build a reporting Center of Excellence, implement Finance AI automation and data pipelines, optimize GCP costs, create self-service analytics, manage a small cross-functional team, and ensure data governance and audit readiness.

Hands-on principal engineer to design, build and operate Go-based, cloud-native distributed systems and high-throughput ingestion/enrichment pipelines for a real-time intelligence platform; establish engineering standards, deliver scalable multi-tenant SaaS, mentor engineers and collaborate with product, ML and threat intelligence teams.

Senior Director analyst providing thought leadership and actionable research on infrastructure and operations AI strategy. Produce insights, presentations, and client advisories; guide AI infrastructure, cloud adoption, integration, governance, and vendor selection. Lead research agenda, mentor analysts, collaborate cross-functionally (infrastructure, engineering, enterprise architecture, cybersecurity), support sales, and represent Gartner at events. Drive process improvements and influence senior stakeholders to align infrastructure and operations with business outcomes.