Top AI Jobs in Belfast

Join Welo Data’s Basque contributor network for potential remote AI projects involving data annotation, search and chatbot evaluation, prompt creation, and linguistic or cultural quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. This is a talent-network opportunity rather than an active job opening.

Join Welo Data’s remote Yoruba AI contributor network based in Nigeria. Projects may involve annotating text, images, or audio; evaluating search results, advertisements, or chatbot responses; creating prompts for large language models; and reviewing cultural and linguistic accuracy. Project duration, scope, timelines, and compensation vary. This is a talent community opportunity rather than an active job opening.

Join Welo Data’s Russian-language AI contributor network for flexible, remote projects involving text, image, and audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Contributors are contacted when suitable projects become available and receive project-specific details about tasks, timelines, and compensation.

Leads a global software and quality engineering organization responsible for enterprise data integration products across mainframe, distributed, hybrid, and cloud environments. Oversees engineering execution, software quality, modernization, customer escalations, operational readiness, innovation, and AI-enabled practices. Partners with product, architecture, and support teams while developing talent, managing performance, fostering accountability, and ensuring reliable delivery of business-critical software.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

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.

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.

Owns roadmap execution and capability definition for an Agentic AI Platform. Translates AI platform strategy into requirements, prioritized roadmaps, reusable agent orchestration and lifecycle capabilities, governance controls, observability, and scalable platform patterns. Partners with engineering, architecture, data, security, legal, compliance, customer success, professional services, and customers. Measures adoption, reliability, safety, quality, cost, and business impact while balancing technical feasibility, security, compliance, and customer value.

Designs, develops, and deploys secure AI-enabled cloud solutions for national security and intelligence customers. Responsibilities include translating mission needs into architectures, building prototypes and production applications, integrating data pipelines and machine learning models, developing APIs and user interfaces, and applying Zero Trust, identity, data protection, compliance, monitoring, and reliability practices in restricted environments. The role also advises customers, collaborates with Microsoft engineering teams, and supports solution hardening and continuous improvement.

Owns revenue for Cohesity’s AI business unit across product, infrastructure, and consulting services. The role generates pipeline, sells AI solutions to executive buyers, develops account plans, delivers business cases, manages enterprise opportunities, and coordinates co-selling with partners such as NVIDIA and hyperscalers. Responsibilities also include CRM hygiene, forecasting, competitive analysis, and building multi-phase customer engagements.

Own analytics and measurement for HighLevel’s AI product portfolio, including instrumentation, feature KPIs, adoption and quality analysis, and experimentation. Establish measurement standards, address data gaps, interpret non-deterministic AI results, influence product roadmaps, and mentor analysts. Partner with product managers, engineers, analytics engineering, and experimentation leaders in a fast-moving B2B SaaS environment.

Lead product direction, roadmaps, standards, metrics, and execution for major areas of KIRA’s AI stockbroking app. Guide product managers, product owners, designers, and engineers across multiple squads; balance UX, data, engineering, regulatory, operational, and business considerations; drive launch quality and continuous improvement; and build a high-performing product culture focused on speed, clarity, user value, and measurable outcomes.

Experiment with generative image and video models, build advanced ComfyUI workflows and automated pipelines, and create high-quality demos, examples, guides, and social content. Translate technical experimentation into engaging developer- and creator-facing material, rapidly evaluate new model releases, and collaborate with Growth, Product, and Engineering on launches and use cases.

Lead product direction, roadmap, standards, and success metrics for major areas of KIRA’s AI neobank app. Guide product managers, product owners, designers, and engineers across multiple squads and financial services, including insurance, payments, savings, investing, and travel. Make product decisions amid regulatory and operational constraints, drive launch quality, measure outcomes, and foster a fast, user-focused product culture.

Create commercial-quality graphic assets for advertising and video production across mobile games, apps, and social platforms. Responsibilities include designing UI elements and visual materials, generating and refining assets with AI tools, maintaining consistency across creative variations, preparing layered files for animation, adapting designs for multiple formats, and collaborating with creative and production teams.

Own the strategy, roadmap, requirements, lifecycle, and commercialization of computer vision products for dairy farming. Translate farmer and market needs into scalable AI and camera-based solutions, coordinate R&D, UX, sales, marketing, service, and partners, and support validation, pricing, training, launch, and adoption. The role requires substantial dairy industry experience, customer engagement, international travel, and knowledge of farm operations, herd management, animal health, and digital farming technologies.

Owns the full data-product lifecycle, including retail data imports, integrations, pipelines, metrics, reporting APIs, AI agents, and dashboards. Sets roadmap priorities, conducts retailer discovery, partners with engineering and data teams, validates product adoption, and uses SQL and analytics to measure business impact. Requires strong technical depth, enterprise customer communication, cross-functional execution, and occasional travel for store and customer visits.

Own relationships with 40–50 enterprise EMEA clients, leading onboarding, product adoption, usage monitoring, renewals, and account expansion. Help build scalable customer success playbooks, manage NRR and GRR KPIs, and contribute to team OKRs. The role requires demonstrating value for technical SaaS products, navigating complex stakeholder environments, solving customer challenges, and driving commercial outcomes.

Own AI stockbroking and other financial-services product areas from user-problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; use research, feedback, experiments, and performance data to improve products; and balance speed, user experience, business impact, compliance, and operational complexity.

Own the end-to-end product strategy and execution for an AI-powered email application. Define AI behavior, system requirements, evaluation frameworks, quality standards, and user experiences while balancing reliability, latency, cost, safety, and usability. Partner closely with ML, backend, and client engineering teams to identify failure modes, improve system performance, prioritize work, and deliver predictable, trustworthy AI capabilities in a fast-moving zero-to-one environment.

Own the end-to-end product direction and quality of an AI-powered email application. Define AI behavior, system requirements, evaluation frameworks, quality standards, and user experiences while balancing quality, latency, cost, reliability, safety, and usability. Partner closely with ML, backend, and client engineers to identify failure modes, prioritize improvements, run experiments, and deliver predictable, trustworthy AI features in a fast-moving zero-to-one environment.

Lead application engineering for an AI email product across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Build APIs connecting AI capabilities to product experiences, guide a senior engineering team, make architecture and reliability trade-offs, and establish observability, monitoring, testing, and operational excellence. Partner with ML leadership to ship scalable, maintainable, and high-performing AI-powered experiences.

Own the end-to-end product direction and quality of AI-powered systems. Define requirements, evaluation frameworks, quality bars, and feedback loops while balancing model quality, latency, cost, reliability, safety, and user experience. Partner deeply with ML, backend, and client engineers on system design and iteration, identify failure modes, and drive execution in a fast-moving zero-to-one environment.

Build production-grade agentic AI infrastructure for operational automation, including memory, context management, tool-calling, orchestration, evaluation, observability, and feedback loops. Develop reliable LLM workflows, coding-agent systems, and multi-agent architectures while partnering with operational and product teams to automate complex workflows across acquired agencies. Influence architecture, engineering standards, and reusable AI primitives in a remote, early-stage team.

Lead new business development for CounselLink across the UK, managing the full enterprise sales cycle from prospecting through contract execution. Build executive relationships within corporate legal departments, develop enterprise pipelines, deliver product demonstrations, lead RFP responses, negotiate agreements, forecast sales, and identify cross-sell opportunities. The role requires consultative SaaS selling experience, familiarity with legal technology and the UK legal market, and the ability to influence senior stakeholders in a remote, cross-functional environment.