Impact-Driven Enterprise AI Deployment Engineer

Accenture PLC; Ireland; On-site; EUR 80,000 - 110,000; Full time

Job summary

Accenture is seeking Forward Deployed AI Engineers to embed with client teams and deploy AI platforms inside enterprise environments. You own outcomes such as time-to-value, reliability, adoption velocity, and scalability, not just milestones.

The role focuses on transforming pilots into scalable capabilities across industries, designing cross‑cutting architectures, and delivering measurable business value while building reusable patterns and accelerators that clients can operate after you leave.

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 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 solutions

AI platforms knowledge

Production CI/CD

End-to-end delivery

Quantifying business value

Stakeholder communication

Non-linear profiles welcomed

Job description

Accenture is seeking Forward Deployed AI Engineers to embed with client teams and deploy AI platforms inside enterprise environments. You own outcomes such as time-to-value, reliability, adoption velocity, and scalability, not just milestones.

The role focuses on transforming pilots into scalable capabilities across industries, designing cross‑cutting architectures, and delivering measurable business value while building reusable patterns and accelerators that clients can operate after you leave.