Embedded AI Engineer for Enterprise Production Deployments

Accenture; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Accenture seeks a Forward Deployed AI Engineer to embed with client teams, deploying and operationalizing AI platforms in real enterprise environments. You will own outcomes such as time-to-value, adoption, reliability, and scalability, translating platform capabilities into measurable business value.

You will drive rapid prototyping to production, design enterprise AI architectures, and deliver repeatable patterns and playbooks that clients can use after you depart.

Qualifications

• 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 environments.
• Experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Experience deploying to production, CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• 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: can quantify the impact of deployments in terms a CFO would recognize and act on.
• Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level.
• Non-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 inside enterprise environments.
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached.
• Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready.
• Design and govern AI architectures across the full enterprise stack: identity, data, security, governance, platform layer, and workflow integration.
• Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy.
• Build reusable patterns, playbooks, and accelerators that the client owns after you leave.
• Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams.
• Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice.

Skills

Cloud-native architectures

AI deployment experience

Stakeholder communication

Tools

Terraform

Helm

CI/CD tooling

Job description

Accenture seeks a Forward Deployed AI Engineer to embed with client teams, deploying and operationalizing AI platforms in real enterprise environments. You will own outcomes such as time-to-value, adoption, reliability, and scalability, translating platform capabilities into measurable business value.

You will drive rapid prototyping to production, design enterprise AI architectures, and deliver repeatable patterns and playbooks that clients can use after you depart.