Embedded AI Engineer: Deploy & Scale Real-World AI

Accenture; Paris; On-site; EUR 110,000 - 150,000; Full time

Job summary

Accenture is seeking a Forward Deployed AI Engineer to work embedded with a client’s enterprise teams, delivering production AI platforms and turning pilots into scalable capabilities. You will own outcomes, drive adoption, and ensure reliability across the stack.

You will work directly with client engineers and leadership to translate architecture into measurable business value, build reusable patterns, and lead workshops that accelerate deployment in complex environments.

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 do not qualify
• Proven ability to articulate business value: quantify the impact of deployments for CFOs
• Experience presenting to and building trust with senior client stakeholders (CTO, CFO, CISO)
• Non-linear profiles welcomed; assessment based on deployment experience and outcome ownership, not CV pattern matching

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
• Move from ambiguous business problem to working production system through rapid experimentation
• 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 teams
• Codify patterns and delivery learnings that scale across engagements and contribute to growth of the FDE practice

Skills

Cloud-native APIs

Microservices

Serverless

AI deployment

CI/CD

IaC familiarity

End-to-end delivery

Business value quantification

Stakeholder communication

Tools

Terraform

Helm

OpenAI

Claude

Vertex AI

Job description

Accenture is seeking a Forward Deployed AI Engineer to work embedded with a client’s enterprise teams, delivering production AI platforms and turning pilots into scalable capabilities. You will own outcomes, drive adoption, and ensure reliability across the stack.

You will work directly with client engineers and leadership to translate architecture into measurable business value, build reusable patterns, and lead workshops that accelerate deployment in complex environments.