Embedded AI Deployment Engineer: Outcomes-Driven

Accenture Italia; Lombardia; On-site; EUR 32,000 - 55,000; Full time

Job summary

Accenture Italia is seeking a Forward Deployed AI Engineer who embeds with client teams to deploy AI platforms and translate platform capability into measurable business value inside real enterprise environments.

You will own production outcomes end-to-end, drive rapid prototyping to production, design architectures across identity, data, security, and governance, and articulate business value to CTOs, CFOs, and CISOs while building reusable patterns for future engagements.

Qualifications

• Demonstrable 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.
• Demonstrable experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Extensive and demonstrable experience of 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 — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones
• 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 APIs

microservices

containerization

serverless

AI platforms

open-source models

CI/CD

infrastructure as code

deployment ownership

stakeholder engagement

Tools

Terraform

Helm

Job description

Accenture Italia is seeking a Forward Deployed AI Engineer who embeds with client teams to deploy AI platforms and translate platform capability into measurable business value inside real enterprise environments.

You will own production outcomes end-to-end, drive rapid prototyping to production, design architectures across identity, data, security, and governance, and articulate business value to CTOs, CFOs, and CISOs while building reusable patterns for future engagements.