Top AI Jobs in Belfast

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Lead UKIMEA transformation initiatives by identifying and implementing AI, automation and technology solutions. Conduct requirements gathering, workshops and process analysis; develop roadmaps, prioritise initiatives, coordinate cross-functional stakeholders from discovery through implementation, and measure outcomes to drive operational efficiency and improved customer experience.

Review, draft, and negotiate NDAs and ancillary transaction documents using client playbooks and an AI-enabled platform. Manage document queues, identify deviations, support concurrent private equity/M&A/financing deals, and collaborate with legal, product, and engineering teams to improve workflows and ensure timely, high-quality delivery.

Lead research and architect GenAI solutions for cybersecurity, design and implement LLM and deep learning models, drive training and deployment at scale, mentor scientists, establish evaluation frameworks, and represent technical leadership through publications and cross-functional collaboration.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

Lead the global AI operational risk agenda within the Chief Risk Office, developing AI risk frameworks, assessing AI use cases and controls, advising governance and regulatory engagement, partnering with businesses for responsible innovation, and coordinating a global team to ensure consistent oversight.

Ownership of backend features for Agentic Tools: design and implement GraphQL/REST APIs, build secure scalable Ruby on Rails services, improve RSpec automated tests, collaborate across product and AI teams, participate in Tier 2 on-call, and shape architecture for AI agent interactions with GitLab.

Lead and scale an AI Security incubation team to drive technical GTM strategy, recruit and mentor principal AI security specialists, enable global sales with repeatable POVs and playbooks, advise Fortune 500 C-levels on safe AI deployments, and feed field insights into Product and Engineering to drive revenue growth.

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.

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.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

As a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities, focusing on AI Control Plane and strategic governance. You'll lead product discovery, drive stakeholder alignment, and collaborate across teams to deliver effective management solutions for AI usage.

As an AI Subject Matter Expert, you will guide the application of AI in core DevOps, partnering with stakeholders to enhance developer productivity and software delivery.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

A 10–12 month Auckland-based graduate programme where you’ll work with software engineers to design, build, test and deploy applications. Gain hands-on experience across application development, data engineering, AI-enabled solutions, cloud and DevOps, contribute to real projects, complete a business-challenge project, and receive mentoring, training and networking to prepare for a permanent role at programme end.

Conduct and publish original computer science research (with emphasis on AI and/or cyber security), secure research funding, supervise PhD students, teach and develop inclusive curricula, contribute to departmental administration, knowledge transfer, enterprise and public engagement, and support an inclusive academic community.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Lead enterprise sales for Media & Entertainment in the UK: develop market strategies, engage customers and partners, drive adoption of NVIDIA solutions, create references/case studies, identify emerging use cases, and act as NVIDIA's central ecosystem contact to grow business and partnerships.

Design, build, and operate the high-availability event and trigger system that links GitLab and third-party events to AI-powered Duo Flows. Work in GitLab's Rails monolith, scale for high throughput, influence architecture, add trigger types, collaborate cross-functionally, and participate in Tier 2/3 on-call rotations to troubleshoot production issues.

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.

Own outbound sales for a PropTech AI product: cold outreach, qualify leads, book discovery calls and demos, manage CRM activity, refine sales playbook, and scale into a full-cycle closing role.

Design and implement large-scale AI/ML systems using LLMs and RAG. Develop data pipelines, optimize models, and collaborate with teams on actionable intelligence solutions.

As an AI Transformation Owner at GitLab, you will shape AI strategies, improve workflows, and drive adoption of AI solutions in your organization, working closely with an AI Engineer.

As an AI Filmmaker, you will create and edit short films using AI tools, collaborating with marketing to ensure brand alignment and innovative storytelling.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.