Top AI Jobs in Belfast

Manage full-cycle recruiting for GTM roles across Sales, Marketing, Customer Success, and related teams. Own 12–15 requisitions, lead intake meetings, build diverse talent pipelines, assess candidates, manage stakeholder expectations, analyze recruiting data, coordinate interviews, deliver candidate communications, negotiate offers, and improve recruiting practices using responsible AI and market insights.

Participate in an eight-week technical sales internship focused on cybersecurity products. Learn product knowledge, technical requirements, sales processes, and certifications; perform hardware and software testing; support technical sales tools and workflows; collaborate with sales and engineering teams; and create technical demonstrations and collateral for customers, partners, and internal stakeholders.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Drive complex sales opportunities and account growth across existing enterprise clients in the UK. Build executive-level relationships, identify new opportunities, develop account plans, lead internal virtual teams, present value propositions, manage sales cycles, and meet or exceed individual quotas. The role requires selling technically complex cybersecurity solutions and leveraging AI technologies to improve decision-making and business outcomes.

Develops AI, machine learning, statistical, NLP, and generative AI solutions for a legal talent matchmaking platform. The role involves experimentation, model development and optimization, stakeholder requirement gathering, end-to-end project ownership, cross-functional collaboration with engineering and product teams, and technical guidance for team members. Responsibilities also include deploying solutions, reporting, dashboarding, and communicating technical concepts to non-technical stakeholders.

Defines Rapid7’s technical vision and architecture for LLM and agentic AI systems across security products. Leads model strategy, fine-tuning, post-training, inference optimization, evaluation standards, and high-risk initiatives. Builds critical training and inference code, resolves complex technical trade-offs, mentors senior engineers, and influences product and platform strategy. The role requires deep expertise in transformer-based models, PyTorch, distributed training, context engineering, model evaluation, scalable inference, classical ML, and production AI systems.

Lead the technical direction for LLM and agentic AI systems across Rapid7’s security products. Architect, fine-tune, evaluate, optimize, and deploy models at scale while establishing engineering standards for context engineering, inference, and release evaluations. The role remains hands-on with model and infrastructure code, leads complex design decisions, mentors senior engineers, and shapes cross-functional product and platform investments.

Leads enterprise stability governance for Citi’s global Production Management organization. Owns stability metrics, KPI and SLO frameworks, executive reporting, data analysis, risk mitigation, application improvement programs, and governance of critical stability artifacts. Drives AI-enabled automation, operational excellence, and cross-functional preventative initiatives while managing team priorities, senior stakeholders, escalations, and mentoring engineers and analysts.

Supports governance, regulatory, risk, and strategic initiatives across Citi’s UK legal entities. Responsibilities include analyzing data and regulatory information, developing management reporting, coordinating governance forums, supporting risk and control assessments, researching regulatory developments, and improving processes through technology, automation, and AI. The role partners with cross-functional stakeholders and translates complex information into clear recommendations and senior-level presentations.

Lead end-to-end product design for AI security and agentic experiences within an enterprise cybersecurity platform. Responsibilities include user research, complex workflow and information architecture design, prototyping, validation, design-system governance, Object-Oriented UX, and translating cybersecurity data into intuitive interfaces. The role partners closely with Product, Engineering, and Research, uses customer insights and behavioral analytics to measure outcomes, and advances scalable, accessible AI-powered product experiences.

Lead business analysis for communications surveillance and regulatory technology initiatives. Gather requirements, map processes, define user stories, investigate data and control issues, coordinate testing, manage risks and dependencies, support platform operations, and contribute to product roadmaps. Collaborate with Compliance, Legal, Operations, Technology teams, and vendors across Agile and Waterfall delivery environments.

Leads digital delivery for hyperscale data centre projects, implementing BIM execution plans, ISO 19650 standards, common data environments, multidisciplinary coordination, model quality controls, and digital reporting. Oversees regional and global teams, manages project information and deliverables, monitors KPIs, supports 3D/4D/5D integration and digital handover, and identifies automation and AI opportunities. The role also engages clients and stakeholders, resolves delivery issues, contributes to bids and resource planning, and supports training and knowledge sharing.

Owkin seeks spontaneous applications from biologists, clinicians, computational biologists, bioinformaticians, data scientists, and AI scientists working on biomedical questions. Candidates should have advanced training in biomedical sciences, medicine, bioinformatics, or a related field; hands-on biomedical, clinical, or omics data experience; and enthusiasm for applying AI to biology in multidisciplinary teams. Suitable profiles may be considered for current or future opportunities.

Owns new-logo sales for managed data, cloud, and AI services across the full sales cycle. Builds a territory and self-generated pipeline, conducts consultative discovery, develops commercial cases, shapes pricing and contracts, coordinates transitions, co-sells with AWS and Databricks, forecasts recurring revenue, and wins multi-year managed services agreements.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Leads complex client software projects through hands-on coding, architecture, solution design, delivery leadership, and project management. Manages and mentors engineers, sets technical standards, oversees planning and risk management, communicates with stakeholders, and drives reliable, scalable outcomes. Builds trusted client relationships, translates business needs into technical plans, contributes to hiring and pre-sales, and supports continuous improvement across consultancy practices.

Leads hands-on client engagements to understand business processes, identify AI and automation opportunities, redesign workflows, build business cases, and translate solutions into implementation plans. Partners with engineers, facilitates workshops, engages frontline teams and executives, validates measurable outcomes, supports proposals, and develops consulting methods. Requires strong process improvement, commercial, storytelling, writing, stakeholder management, and AI prototyping capabilities.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Leads customer support operations across EMEA and APJ, managing distributed Support Engineers and Managers. Owns regional metrics, escalations, customer sentiment, workforce planning, quality, knowledge management, and talent development. Drives AI adoption in support workflows, improves customer experience, and partners with Product, Engineering, Customer Success, Sales, Renewals, and Professional Services on incidents, retention, and scalable processes. Regularly presents performance updates to executives and travels to Cambridge and across the assigned regions.

Lead the product direction and experience for an AI-native phone. Define user workflows, proactive interactions, and cross-application AI behavior; translate concepts into engineering requirements; collaborate with Android and AI teams; prioritize prototype and launch capabilities; and validate interaction patterns through user research.

Lead complex enterprise pre-sales engagements for legal-sector software customers. Responsibilities include executive discovery, consultative solution design, strategic demonstrations, value-based selling, commercial support, risk identification, competitive positioning, and cross-functional collaboration with Sales, Product, Marketing, and leadership. The role also supports cloud migrations, manages concurrent enterprise pursuits, resolves technical and functional concerns, and improves pre-sales methodologies and execution standards.

Own end-to-end product design for new B2C and internal AI products, from discovery and prototyping through launch and iteration. Lead zero-to-one design in ambiguous environments, shape non-deterministic user experiences, conduct research, influence product strategy, and partner closely with product, engineering, and leadership. Create visually rich, scalable experiences with strong UX, visual design, systems thinking, and craft.

Provides senior operational support across education programmes, coordinating complex planning, logistics, suppliers, documentation, quality assurance, compliance, costs and programme delivery. Acts as the escalation point for operational issues, supports centre management and staff inductions, maintains procedures and trackers, and drives consistency and continuous improvement across programme streams. The role also supports safeguarding, accreditation compliance, reporting, invoicing and stakeholder communications.

Develop product messaging and positioning for AI-powered legal technology, lead product and feature launches, create sales enablement materials, synthesize customer and market research, support campaigns, and analyze product marketing performance. The role partners cross-functionally with Product, Marketing, Sales, and Customer Success to drive adoption, product-market fit, and commercial success.