Forward Deployed AI Engineer (Team Lead/Consultant)

About the role

Accenture is recruiting a Forward Deployed AI Engineer (Team Lead/Consultant, mid-level, full time) in London. The engineer works embedded inside a client's enterprise alongside its teams, helping make complex AI platforms work in real organisational environments. The role owns outcomes such as time-to-value, adoption, reliability and scalability, and the engineers joining now will help define the role at scale.

Key responsibilities

• Embed with client engineering and business teams to deploy, scale and operationalise AI platforms (including Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP and Palantir) inside enterprise environments
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity and scalability
• Move from an ambiguous business problem to a working production system through rapid experimentation, from days to prototype to weeks to production-ready
• Design and govern AI architectures across the full enterprise stack, covering identity, data, security, governance, platform layer and workflow integration
• Build reusable patterns, playbooks and accelerators that the client owns after you leave, and codify delivery learnings that scale across engagements

Required profile

• Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)
• Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production
• Experience leading software engineering teams: overseeing delivery, allocating resources across workstreams and developing direct reports
• Demonstrated end-to-end delivery ownership in a client-embedded environment; internal projects, vendor labs or team-only deployments do not qualify
• Proven ability to articulate business value and present to senior client stakeholders (CTO, CFO, CISO level)
• Non-linear profiles are welcomed; assessment is based on demonstrated deployment experience and outcome ownership

Required skills

• Experience with AI platforms such as OpenAI, Claude, Vertex AI and open-source models, including building abstraction layers for multi-provider pipelines
• Cloud-native development and serverless architecture