Embedded AI Deployment Engineer for Enterprise Outcomes

Accenture; Leinster; On-site; EUR 90,000 - 140,000; Full time

Job summary

Accenture is seeking a Forward Deployed AI Engineer to embed with client teams and deploy AI platforms inside enterprise environments. You own outcomes—time-to-value, adoption, reliability, and scalability—across the full stack, from data to governance.

This role seeks individuals who can translate platform capability into measurable business value while solving hard enterprise AI problems across industries, working shoulder to shoulder with client teams to deliver real impact.

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

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 — 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

Cloud-native systems

Agentic AI / context engineering

AI platforms (OpenAI, Claude, VertexAI

CI/CD / IaC

Business value articulation

Tools

Terraform

Helm

Job description

Accenture is seeking a Forward Deployed AI Engineer to embed with client teams and deploy AI platforms inside enterprise environments. You own outcomes—time-to-value, adoption, reliability, and scalability—across the full stack, from data to governance.

This role seeks individuals who can translate platform capability into measurable business value while solving hard enterprise AI problems across industries, working shoulder to shoulder with client teams to deliver real impact.