Top AI Jobs in Belfast

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Leads client-facing research and advisory work on IT procurement strategies, technology adoption, AI-enabled procurement, category management, sourcing, contracts, supplier relationships, and vendor risk. Develops market insights, actionable recommendations, presentations, and thought leadership for Gartner clients and events. Supports sales, collaborates with analysts, reviews content, improves research processes, and advises executives on procurement transformation.

Lead expansion of Snowplow’s Firn AI and data platform, including GTM intelligence services, production-grade agents, MCP and LLM gateways, evaluation and tracing infrastructure, learning loops, and platform architecture. Establish engineering standards, operational discipline, roadmap, documentation, and service ownership while partnering with data engineers and nontechnical internal customers.

Own and productionize AI-powered growth and GTM workflows, including outbound orchestration, campaign tooling, intent signals, enrichment pipelines, paid-media automation, and seller routines. Build reliable LLM workflows with review steps, evaluation, alerting, tracing, retries, and suppression controls. Partner with Growth, data engineering, and platform teams on Snowflake pipelines, scoring models, experimentation, deliverability, and migration to the Firn framework.

Build and deploy agentic workflows that transform recurring business processes across company functions. Responsibilities include mapping workflows, evaluating AI opportunities, developing reliable agent systems, defining approval gates, preparing data and knowledge for agents, tuning outputs with domain experts, measuring quality, and handing off solutions to functional teams. The role also establishes reusable patterns and reference implementations for future Applied AI engagements.

Leads and scales Netskope’s EMEA Solutions Engineering organization across multiple countries. The role owns pre-sales methodology, talent development, operating models, technical win rates, pipeline progression, and revenue partnership. It requires executive engagement with strategic customers, collaboration with Sales, Product, Engineering, and Marketing, and expertise in cybersecurity, cloud, SASE, SSE, ZTNA, and AI security. The leader will also drive AI-enabled workflows, automation, organizational transformation, and technical positioning in complex enterprise opportunities.

Lead B2B product marketing strategy for DataCamp’s data and AI SaaS offerings. Responsibilities include developing positioning and messaging, executing go-to-market campaigns, creating sales and marketing collateral, gathering customer insights, managing analyst relations, and conducting competitive analysis. The role partners closely with sales, customer success, product, and content teams to drive revenue, adoption, and market impact.

MBA summer associates join Roland Berger for an 8–12-week internship, contributing to real client projects with consulting teams across global offices. Responsibilities involve strategic work, analytical and creative problem-solving, teamwork, entrepreneurial thinking, and applying AI-based solutions and data skills to complex business challenges. High-performing interns may receive full-time offers.

Design and hands-on build Ditto’s agentic identity platform, focusing on verifiable agent identity, instance integrity, delegation, authorization, attestation, and continuous runtime trust. Set architecture and technical direction, make build-versus-buy decisions, integrate standards and identity providers, mentor engineers, engage standards communities, and use LLMs for rigorous research and accelerated delivery while validating security-critical work against primary sources.

Leads enterprise architecture and engineering strategy across Power Platform, Dynamics 365, Azure, and AI initiatives. Owns the software development lifecycle, drives secure and scalable solution design, mentors engineering teams, improves DevOps and code quality practices, and leads resolution of complex production issues. Collaborates across Agile squads and business functions while ensuring compliance, documentation, reliability, and continuous modernization.

Own production reliability for AI agents and integrations, including incident response, observability, LLM debugging, evaluation tooling, and failure replay. Build scheduling availability tools and help harden marketing reporting and website products. Work hands-on with Python, TypeScript, event-driven services, databases, third-party integrations, and AI coding agents while maintaining production systems and resolving issues proactively.

Build and operate production AI agents and tools on Amazon Bedrock and AgentCore. Own agent quality, retrieval, multi-step workflows, MCP endpoints, evaluation harnesses, regression gates, observability, latency, cost, and runtime guardrails. Measure groundedness, adoption, task success, and customer impact while partnering with Product and engineering teams to improve data and infrastructure. Requires strong Python, AWS, agent engineering, retrieval, evaluation, SQL, product judgment, and cross-functional communication skills.

Manage strategic law firm and corporate legal accounts, building executive relationships, driving retention, upsell and cross-sell growth, and guiding customers from on-premises systems to cloud SaaS. Maintain CRM account plans and forecasts, identify account risks, collaborate with Solutions, Product, Marketing, and Customer Success teams, and advocate for customer needs. Educate clients on product capabilities and best practices while delivering measurable improvements in efficiency, profitability, and service.

Lead the engineering function on a remote consulting mission by setting technical direction, managing and mentoring engineers, driving the roadmap, overseeing complex delivery, improving engineering practices, and partnering with product and business stakeholders. The role requires hands-on technical leadership, architectural judgment, agile expertise, and evaluation of emerging technologies including cloud, AI, and blockchain.

Lead the engineering function for a growing technology company on a renewable consulting mission. Responsibilities include setting the engineering roadmap, managing and mentoring engineers, guiding architecture and technical decisions, leading complex projects, improving engineering practices, and collaborating with product and business stakeholders. The role requires hands-on technical involvement, strong software engineering expertise, and the ability to evaluate emerging technologies including cloud, AI, and blockchain. French fluency and strong English communication skills are mandatory.

Own the production improvement loop for an AI Context Engine, improving agent behavior, retrieval, memory, telemetry, evaluation, and safe rollout. Build production services in TypeScript or Python, design observability and evaluation systems, analyze agent traces and customer feedback, and partner with data scientists, backend engineers, product, and UX. Mentor engineers, review designs, and shape the technical roadmap for agentic products with public APIs and evolving data models.

Own Paddle’s organic search and AI discoverability strategy across traditional search, AI-generated answers, and LLM citations. Audit visibility, identify opportunities, prioritize content roadmaps, and translate performance data into recommendations for Brand, Product Marketing, and Growth. Steer content updates, contribute drafts using AI, define discoverability metrics, and connect organic visibility to commercial outcomes such as pipeline.

Writes and updates inheritance tax content, including research materials and practical guidance. Reviews AI-powered tax workflows for technical accuracy and practitioner relevance, collaborates on commissioned content, and contributes to the strategic direction of Tolley’s tax offering. The role requires expertise in inheritance tax, trusts, estates, and personal tax, strong writing and communication skills, and the ability to use AI tools critically in tax research and content creation.

Drive the EMEA go-to-market strategy for robotics and physical AI by opening net-new accounts, building partner ecosystems, leading complex technical and commercial engagements, and delivering pipeline and revenue. The role combines technical advisory, business development, strategic alliances, marketing initiatives, executive presentations, and multi-stakeholder program leadership across hardware, software, OEM, ODM, ISV, and systems integration partners.

Principal Engineer in a forward-deployed role, partnering directly with teams to identify opportunities, build production-ready solutions, demonstrate emerging capabilities, and transfer knowledge. The role requires broad engineering expertise, architectural judgment, hands-on development, consulting skills, and practical use of AI with appropriate guardrails and quality controls. Work is hybrid for UK-based employees, with approximately one day per week in Edinburgh or London and occasional client-site travel.

Conduct research and analysis on AI integration, API management, and orchestration. Develop research publications, market guidance, and best practices; advise enterprise clients on vendors, technology adoption, architecture, security, scalability, and governance; deliver presentations and client engagements; and monitor evolving AI, API, and integration technologies.

Leads a 10+ person AI-native R&D engineering team while remaining hands-on with coding, architecture, prototypes, distributed systems, and production readiness. Owns initiatives from ambiguous requirements through implementation, evaluation, validation, documentation, and handoff. Establishes responsible AI-assisted development practices, mentors engineers, maintains high standards for security, testing, reliability, and code quality, and partners with Product, Architecture, Security, and Engineering stakeholders.

Leads complex Defence and national security programmes spanning AI strategy, R&D, digital product development, and deployment. Oversees portfolios, develops growth proposals, mentors teams, manages senior military and civilian relationships, and advises clients on AI implementation and operational outcomes. Requires substantial Defence experience, transformation programme leadership, digital product delivery, commercial consulting expertise, and UK Security Clearance eligibility. The role involves working onsite with UK customers two to four days weekly and travelling throughout the UK when required.

Own DataCamp’s curriculum partnership strategy, source and close content, technology, certification, and instructor deals, and manage senior ecosystem relationships. Lead negotiations involving licensing, revenue share, and content rights; coordinate with curriculum, product, legal, and marketing to launch successful partnerships. Build the partnerships function and team, report performance to leadership, and optimize the partner portfolio for learner impact.

Develop R automation and AI solutions supporting pharmaceutical clinical trials. Interpret requirements, identify workflow improvements, build proof-of-concept tools using R, Shiny, and LLM-supported coding, and mature successful prototypes into validated, documented, reusable solutions. Collaborate with statisticians, programmers, data scientists, and automation leads while ensuring compliance with clinical development standards, including testing, traceability, audit trails, version control, and regulated delivery expectations.