Enterprise AI Deployment Engineer

Accenture PLC; Paris; On-site; EUR 120,000 - 180,000; Full time

Job summary

Accenture is seeking Forward Deployed AI Engineers to embed with client teams, deploying and scaling AI platforms inside enterprise environments. You will own time-to-value, reliability, adoption velocity, and measurable business outcomes, not just milestones.

You will design architectures across identity, data, security, and workflow, translate technical work into CFO-friendly business impact, and create reusable patterns the client can own after you leave.

Qualifications

• 3-5 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 years of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 3 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 10 years of 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.

Responsibilities

• Embed directly with client 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 — enabling the client team to run it without you.
• 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

AI deployment experience

Cloud-native systems

Agentic solutions design

AI platforms experience

CI/CD and IaC

Production deployment ownership

Stakeholder communication

Tools

Terraform

Helm

Kubernetes

CI/CD tooling

Job description

Accenture is seeking Forward Deployed AI Engineers to embed with client teams, deploying and scaling AI platforms inside enterprise environments. You will own time-to-value, reliability, adoption velocity, and measurable business outcomes, not just milestones.

You will design architectures across identity, data, security, and workflow, translate technical work into CFO-friendly business impact, and create reusable patterns the client can own after you leave.