Top AI Jobs in Belfast

Develop and modify Android Framework components, system services, privileged APIs, and secure AI-agent interfaces. Manage application lifecycle, permissions, background execution, and first-party application integrations. Improve Android OS stability and performance while collaborating with agent engineers on execution capabilities. Requires strong Android development, Java or Kotlin, AOSP knowledge, Binder IPC, permissions expertise, and complex issue debugging. Custom ROM, C++, Linux, security, power management, and system-shipping experience are preferred.

Develop and modify Android system services, privileged APIs, and OS-level AI integrations. Build interfaces for AI agents to interact with Android functionality while managing permissions, IPC, application lifecycle, background execution, performance, and resource consumption. Collaborate with agent engineers and optimize system reliability. Requires strong Android Framework or AOSP experience, Java or Kotlin expertise, Binder IPC knowledge, and debugging skills.

Integrate AOSP or custom Android ROMs with smartphone hardware, including BSPs, vendor HALs, firmware, drivers, sensors, cameras, audio, modems, Wi-Fi, and Bluetooth. Support device bring-up and boot processes, troubleshoot hardware and firmware compatibility issues, collaborate with ODMs, OEMs, and chipset vendors, and optimize power consumption and hardware performance.

Build integrations that enable AI agents to access and act across first-party and third-party applications. Develop structured agent actions, information retrieval interfaces, reusable SDKs, cross-application workflows, and reliable asynchronous APIs. Manage authentication, authorization, and permissions; investigate integration limitations; and collaborate with Android engineers on system-level access. The role requires strong software engineering, API development, application integration, mobile architecture, debugging, and interoperability skills.

Design AI-native phone experiences across voice, touch, conversational, contextual, and proactive interactions. The role involves creating cross-application workflows, reducing explicit prompting, making agent actions transparent and controllable, prototyping interaction models, validating usability, and collaborating closely with product and engineering teams.

Lead Android platform architecture and AOSP-based ROM development for an AI-native phone. Define OS-level AI integration, system services, privileged APIs, permissions, security architecture, and platform modifications. Partner with hardware vendors and ODMs on device integration, evaluate technical trade-offs, and establish engineering standards. The role requires deep Android internals expertise, platform-level feature delivery, ROM development, and strong Java, Kotlin, and C++ skills.

Build agent workflows, orchestration, tool integrations, context retrieval, memory, and multi-step task execution. Develop stateful, long-running workflows, improve reliability, integrate local and cloud models, and create evaluation and regression tests. The role requires backend or AI application engineering, programming in Python, Go, or TypeScript, LLM API and tool-calling experience, distributed systems knowledge, and asynchronous state management expertise.

Leads country-level commercial performance, strategy execution, delivery quality, regulatory compliance, workforce planning, and cross-functional alignment. The role owns local entity performance within a shared P&L model, drives AI adoption, manages client and partner relationships, represents the company externally, and ensures global priorities are effectively adapted and delivered in the local market.

MBA Summer Associates join consulting teams for 8–12 weeks, contributing to real client projects and developing hands-on strategy consulting experience. Responsibilities include strategic analysis, creative problem-solving, teamwork, and applying AI-based solutions and data competencies to complex business challenges. Strong performers may receive full-time offers.

Leads cloud and AI go-to-market activation across sales, marketing, consulting, customer success, and partner teams. Owns product positioning, scorecard metrics, GTM planning, partner enablement, pipeline growth, market differentiation, seller readiness, and supply-demand alignment. Serves as a product spokesperson and cross-functional orchestrator while guiding team performance, strategic execution, and business development in a multinational matrixed organization.

Lead production AI initiatives including LLM agents, AI drafts, and a shared Context Engine. Own architecture decisions, evaluation systems, guardrails, observability, reliability, and quality measurement. Deliver major AI projects from design through production while providing cross-functional technical leadership and improving engineering standards. Build backend and platform infrastructure using Python, Django, PostgreSQL, Redis, asynchronous workers, and REST or GraphQL APIs.

Lead the architecture and development of ENSEK’s shared AI/ML platform. Establish scalable MLOps and LLMOps capabilities covering model deployment, evaluation, observability, governance, RAG, agentic workflows, safety, and lifecycle management. Partner with data and platform teams to operationalize AI solutions, mentor engineers, define technical standards, and build a high-performing AI engineering capability supporting multiple product teams in a regulated environment.

Lead end-to-end development of production AI-enabled applications, from architecture and implementation through deployment, monitoring, and support. Build full-stack experiences, integrate models and enterprise data, implement retrieval, grounding, guardrails, evaluation, observability, security, and governance. Create reusable engineering foundations, optimize performance and operating costs, troubleshoot distributed systems, and provide technical leadership across cross-functional teams.

Own the AI Gateway product across user onboarding, Gateway credits, provider partnerships, usage-based pricing, enterprise governance, and self-hosted or Cloud deployments. Define model and service offerings, negotiate vendor agreements, shape capabilities such as virtual keys, budgets, policies, reporting, and audit, and lead cross-functional collaboration with engineering, design, sales, finance, security, and enterprise customers.

Leads Gartner thought leadership and client advisory research on data management and AI readiness. Develops market insights, analyzes client challenges, predicts trends, creates research and presentation content, supports sales and conferences, and advises executives. The role also establishes analyst-team viewpoints, reviews content, improves research processes, mentors colleagues, and represents Gartner’s methodology. Requires deep expertise in data architecture, data operations, database and integration practices, and AI-ready data management, with up to 25% travel.

Own the full client lifecycle for telehealth businesses, from onboarding through renewals and expansion. Build client relationships, troubleshoot platform and workflow issues, monitor engagement and churn risks, and deliver demonstrations and strategic recommendations. Use ChatGPT, Claude, Gemini, and other AI tools to research needs, automate workflows, improve communications, and validate solutions. Collaborate cross-functionally to enhance client experiences, document successful AI processes, and support clients during weekend work.

Own growth and revenue expansion across existing customer accounts through upselling, cross-selling, platform adoption, and strategic account planning. Use AI tools, LLMs, customer data, and market insights to identify opportunities, personalize outreach, manage expansion pipelines, forecast revenue, and improve customer growth outcomes. Collaborate with Client Success, Product, Engineering, and Marketing while developing repeatable growth playbooks and AI-assisted workflows.

Lead global stability governance for Citi’s production management organization. Establish executive reporting, KPI and SLO frameworks, analyze systemic technology risks, oversee application improvement programs, and drive corrective initiatives. Govern stability artifacts, automate reporting with AI and intelligent automation, manage high-priority initiatives, and provide operational leadership. The role requires executive influence, advanced quantitative analysis, data governance, production support or IT governance experience, and senior leadership within banking or financial services.

Provides strategic and scholarly leadership for the Advanced Computing journal. Responsibilities include defining scope and special issues, recruiting and managing the editorial board, overseeing peer review and decisions, enforcing research quality and ethics, promoting reproducibility and open science, and engaging global academic, industry, and policy communities.

Design and lead architecture for agentic AI, knowledge graph, semantic, and enterprise data platforms supporting supply chain systems. Build reusable data models, ingestion pipelines, integrations, entity resolution, schema alignment, validation, and graph capabilities. Evaluate emerging technologies, define scalable architecture and governance patterns, establish quality controls and evaluators for agentic systems, and mentor technical teams while influencing product and engineering direction.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Reviews AI-generated legal and regulatory content for accuracy, completeness, legal reasoning, and jurisdictional relevance. Researches authoritative laws and regulatory guidance, identifies errors or unsupported conclusions, and documents structured feedback and corrections. Applies expertise in Mainland China or Spain legal systems, compliance requirements, and regulatory frameworks. Works independently on a short-term, fully remote freelance project while meeting quality, confidentiality, and deadline requirements.

Leads technical pre-sales strategy for AI and cloud workforce transformation solutions serving strategic Japanese global accounts. Designs architectures, guides complex digital transformation engagements, influences senior stakeholders, orchestrates Microsoft experts and partners, coaches technical sellers, and translates customer and market insights into product and engineering strategy.

Leads research and thought leadership on AI-driven HR strategy, transformation, governance, workflow redesign, regulatory environments, and value realization. Produces actionable insights across written, visual, video, and presentation formats; advises CHROs and senior HR leaders; analyzes market trends, vendors, technologies, and client challenges; supports sales and conferences; mentors analysts; and improves research processes.

Make outbound calls to US-based business owners and decision-makers on behalf of B2B technology companies. Use an AI-enabled sales platform, follow approved scripts, handle objections, and book qualified meetings for customer sales teams. Representatives receive coaching, complete training and certification, choose customer programs, and work flexible hours as independent contractors. Compensation is commission-based in USD, with no fixed schedule or employee benefits.