3 of 3 Permanent Generative AI Jobs in Brighton

Campus - Full Time - AI Engineer - 2027 (UK - Burgess Hill)

Hiring Organisation
American Express
Location
Brighton, East Sussex, UK
Employment Type
Full-time
DayWorkplace: HybridCareer Area: TechnologyCompany: American ExpressDescriptionAt American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you'll join a full-time graduate program and contribute to technology work that helps teams explore, build … test, and responsibly scale AI-enabled solutions. In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. ...

Principal Architect, Enterprise Architecture

Hiring Organisation
American Express
Location
Brighton, East Sussex, UK
Employment Type
Full-time
across the enterprise with reusable platforms and assets. Architecture as Design: translates business strategy into technology decisions that are consistent, reusable, secure and AI-ready, embedding architecture into delivery to speed execution while reducing complexity, risk and cost. Governance & Testing: defining architecture standards, governing critical technology decisions, embedding … reuse, and improve visibility of privacy and regulatory risks. We are seeking a highly technical and forward-thinking Principal Architect to lead AI-enabled architecture strategy focused on areas such as: Agentic Security and Agentic Platform Enablement, including MCP ecosystem AI-led Global Servicing and Conversational ...

Campus - Full Time - Software Engineer - 2027 (UK - Burgess Hill)

Hiring Organisation
American Express
Location
Brighton, East Sussex, UK
Employment Type
Full-time
Express deliver trusted, secure, and customer-first products and services. Software Engineers may support teams across backend engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data-oriented engineering, infrastructure-adjacent engineering, or full-stack product development. You will design, code, test, improve, and support applications … technology stack, such as APIs, services, microservices, user interfaces, mobile experiences, cloud platforms, or data-driven solutions. Explore responsible use of AI-powered developer tools, machine learning concepts, and intelligent automation relevant to your team's work. Participate in graduate program learning, mentorship, networking, community, and career-development ...