About this role
Salary: £61,000 - 101,000 per year
Requirements: Engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverlessExperience designing and deploying agentic solutions such as agents, orchestration, context engineering, RAG, and workflows in production environmentsStrong experience with AI platforms including OpenAI, Claude, and Vertex AI, plus open-source models and abstraction layers for multi-provider pipelinesStrong experience deploying to production, including CI/CD, infrastructure as code, monitoring, and debuggingDemonstrated end-to-end delivery ownership in a client-embedded environment; internal projects, vendor labs, or team-only deployments do not qualifyProven ability to articulate business value and quantify deployment impact in terms a CFO would recognize and act onExperience presenting to and building trust with senior client stakeholders at CTO, CFO, or CISO levelNon-linear profiles are welcomed; assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching Responsibilities: Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms inside enterprise environmentsOwn production outcomes end to end, including time-to-value, reliability, adoption velocity, and scalability, with business metrics attachedMove from ambiguous business problems to working production systems through rapid experimentation, from days to prototype and weeks to production-readyDesign and govern AI architectures across the enterprise stack, including identity, data, security, governance, platform layer, and workflow integrationTranslate technical architecture into business impact for client CTO, CFO, and CISO stakeholders; shape use case roadmaps, ROI backlogs, and AI adoption strategyBuild reusable patterns, playbooks, and accelerators that the client can own and run independentlyLead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teamsCodify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice Technologies: AICI/CDCloudCTOEmbeddedRAGSecurityServerlessmicroservicesHelmNetworkSAPSalesforceTerraform More:
We are partnering directly with Accenture to hire a Forward Deployed AI Engineer. This is not a consulting, project delivery, or research role; it is a production engineering role embedded inside client enterprises to make AI platforms work in real organizational environments. We are building the largest FDE capability in the services industry, giving our engineers access to some of the hardest enterprise AI problems across every industry. Accenture is a leading global professional services company with approximately 791,000 people serving clients in more than 120 countries, and we combine technology, cloud, data, and AI expertise with deep industry experience. We value inclusion, diversity, stewardship, respect, integrity, and shared success, and we are committed to creating 360 value for our clients, people, partners, and communities.
last updated 39 week of 2026