About this role
Salary: £61,000 - 101,000 per year
Requirements: Engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverlessDeep experience designing and deploying agentic solutions, including agents, orchestration, context engineering, RAG, and workflows, in production environmentsExperience with AI platforms such as OpenAI, Claude, and Vertex AI, plus open-source models, including building abstraction layers to manage multi-provider pipelinesExperience deploying to production, including CI/CD, infrastructure as code such as Terraform and Helm, 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 the CTO, CFO, or CISO levelNon-linear profiles are expected and 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 in 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 full enterprise stack, including identity, data, security, governance, platform layer, and workflow integrationTranslate technical architecture into business impact for client CTO, CFO, and CISO stakeholdersShape use case roadmaps, ROI backlogs, and AI adoption strategyBuild reusable patterns, playbooks, and accelerators that the client team can own after we leaveLead 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/CDCloudCTOEmbeddedHelmRAGSecurityServerlessTerraformmicroservicesSAPSalesforce More:
We are partnering directly with Accenture to hire for a Forward Deployed AI Engineer role. This is a production engineering role embedded inside client enterprises, focused on making complex AI platforms work in real organizational environments and delivering measurable business outcomes rather than consulting or project delivery milestones. We are building the largest FDE capability in the services industry, and engineers joining now will help define the role at scale while working on challenging enterprise AI problems across every industry. Accenture is a leading global professional services company serving clients in more than 120 countries, with strong capabilities in cloud, data, and AI, and a culture of shared success, innovation, and 360 value.
last updated 37 week of 2026