Top AI Jobs in Belfast

Leads procurement transformation consulting engagements for UK, European, international, and global clients. Responsibilities include designing and implementing procurement operating models, digital Source-to-Pay processes, technology landscapes, data management, third-party risk programs, performance management, sustainability initiatives, automation, AI adoption, category strategies, spend analysis, benchmarking, business cases, cost reduction, and benefits tracking. Works with C-suite executives and procurement leadership teams to deliver business-led transformation.

MBA summer associates join Roland Berger consulting teams for 8–12 weeks, working on real client projects across global offices. Interns apply strategic thinking, analytical and creative problem-solving, teamwork, entrepreneurial skills, and AI and data capabilities to complex business challenges. Outstanding performers may receive full-time offers.

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.

The Director of FP&A will own budgeting, rolling forecasts, integrated financial modeling, cash flow and headcount planning, SaaS KPI reporting, variance analysis, board reporting, and PE sponsor reporting. The role will improve planning infrastructure across NetSuite, Salesforce, Pigment, and Bob, apply AI to finance workflows, and lead and develop the FP&A team across a multi-entity, multi-currency SaaS business.

Own the monthly close and group consolidation across Belgium, the UK, Poland, and the US. Prepare consolidated accounts under IFRS and local GAAP, manage intercompany eliminations and FX translation, support statutory and group audits, improve reporting processes using Excel, NetSuite, consolidation tools, and AI-enabled workflows, and mentor accounting team members.

Build and scale 1Password’s Commercial Deal Desk within Revenue Operations. Partner with Sales, Finance, Legal, and cross-functional teams on complex deals, advising on pricing, terms, discounting, approvals, renewals, and amendments. Execute accurate quotes and contracts in Salesforce CPQ/Revenue Cloud, develop approval workflows and commercial policies, create playbooks and training, and improve quote-to-cash processes through automation, AI, and data-driven analysis.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Evaluate AI coding-agent interactions for quality, engineering judgment, reasoning, explanations, and user trust. Provide clear written feedback, distinguish response-quality levels, help define evaluation standards, and record short video explanations. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with OpenAI Codex, Claude Code, or Cursor, and excellent English communication.

Build and deploy production-grade AI applications for Citi’s global lending platform. Responsibilities include developing MCP tools and AI agent framework components, applying LLMs to business problems, integrating REST APIs and databases, writing Python and SQL, participating in Scrum practices, conducting code reviews, and contributing to technical standards. The role requires collaboration, autonomy, analytical thinking, and continuous learning in a hybrid work environment.

Own analyst relationships and engagement across cybersecurity, data protection, backup, disaster recovery, and MSP markets. Manage analyst briefings, evaluations, research submissions, executive preparation, and analyst intelligence programs. Partner with Product Marketing, Product Management, Communications, Sales, and leadership to strengthen market positioning, translate complex technology into compelling narratives, inform go-to-market strategy, and measure analyst relations performance.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Build and deploy reliable, measurable, and safe AI agents for real business workflows. Work within Marketing Engineering and growth pods to identify problems, develop end-to-end solutions, evaluate LLM performance, and measure business impact. The role involves productionizing agent systems beyond demos, using Python, SQL, LLM APIs, and orchestration tools, with potential integration into go-to-market data and marketing systems.

Lead the strategy, vision, and multi-quarter roadmap for Elastic’s vector database, embedding and reranking capabilities, hybrid retrieval, and AI search use cases. Conduct market and competitive research, define product metrics, prioritize features, and partner with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, retrieval quality, and total cost of ownership across serverless and self-managed deployments.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Build and deploy production-grade AI solutions, including LLM agents, multi-agent workflows, RAG systems, classical ML, and speech models. Develop reliable, secure, observable, and scalable AI platforms using strong software engineering and MLOps practices. Own solutions from client scoping through monitoring and continuous improvement, collaborate with technical and business stakeholders, mentor engineers, and drive innovation in enterprise AI.

Own new-business sales across pharmaceutical, biotech, CRO, VC/PE, and life sciences accounts, with emphasis on North America. Build target-account relationships, generate pipeline, lead consultative discovery, develop proposals and pilots, negotiate contracts, and close complex multi-stakeholder opportunities. Collaborate with technical sales, product, delivery, legal, finance, marketing, and partnerships teams while maintaining accurate CRM forecasts and feeding market insight back into commercial strategy.

Own and deliver product features across trading, investing, crypto, accounts, and payments. Responsibilities include prioritizing features, interpreting regulations and API documentation, writing detailed specifications, coordinating with Engineering, Design, Legal, Compliance, and Operations, leading testing and launches, and monitoring performance after release. Candidates must have shipped products or features, understand technical systems and data flows, query and explain product data, and regularly use AI in product work.

Owns Pencil’s financial controls, month-end close, cash flow forecasting, treasury, payment approvals, revenue recognition oversight, payroll review, and audit readiness. The role provides senior financial judgment, manages banking and vendor escalations, strengthens finance processes, and applies AI to automate workflows. It requires a qualified UK accountant with experience in scaling businesses, preferably SaaS or technology companies.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Develops Gartner research and thought leadership on the economic impact of AI and technology disruption. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and business context into executive-level insights. Advises clients, presents at conferences and media engagements, supports business development, reviews research, and collaborates with modeling, data science, and data engineering teams. The role also contributes to research strategy, mentors colleagues, and builds authority in technology market economics.

Conduct hands-on research on frontier AI models, reasoning, agents, and multimodal systems. Design benchmarks, evaluation frameworks, and experimental pipelines; rapidly execute research cycles from hypotheses to prototypes and validated findings. Identify model limitations and research opportunities, translate customer challenges into measurable outcomes, and collaborate with engineering and product teams. The role emphasizes LLMs, foundation models, AI security, benchmarking, and evaluation.

Build and lead an AI-native digital banking business, defining its proposition, roadmap, business model, and customer experiences across accounts, cards, payments, savings, and money management. Own P&L, deposits, revenue, unit economics, and operating costs. Partner with product, engineering, and AI teams, build the leadership team, establish banking and operational capabilities, and drive regulatory readiness, partnerships, and expansion.

Build and lead an AI-native consumer finance business spanning spending, saving, investing, and everyday financial workflows. Responsibilities include defining product strategy, roadmap, business model, and AI capabilities; owning P&L, growth, revenue, unit economics, and operations; launching and scaling products; collaborating with product and engineering teams; building a cross-functional team; and expanding into new markets.