Forward Deployed Engineer Specialist

Accenture Italia; Milano; In loco; EUR 32.000 - 55.000; Tempo pieno

Descrizione del lavoro

Accenture Italia is seeking Forward Deployed AI Engineers to embed with client teams and operationalize AI platforms inside enterprise environments. You will own time-to-value, reliability, adoption velocity, and scalability, translating platform capabilities into measurable business value.

The role is part of the Reinvention Deployment Engineering practice, tackling the hardest enterprise AI challenges across industries and building reusable patterns for the client to own after you depart.

Competenze

• Experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Design and deploy agentic AI solutions in production environments.
• Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelines.
• Extensive experience deploying to production, CI/CD, and infrastructure as code (Terraform, Helm).
• End-to-end delivery ownership in client-embedded environments.

Mansioni

• Embed with client teams to deploy, scale, and operationalize AI platforms inside enterprise environments.
• Own production outcomes: time-to-value, reliability, adoption velocity, scalability.
• Move from ambiguous business problem to production-ready systems through rapid prototyping.
• Design and govern AI architectures across the enterprise stack including identity, data, security, governance, and workflow integration.
• Translate architectural outcomes into business impact for client leadership including CTO, CFO, CISO.
• Build reusable patterns and playbooks that clients own after you leave.
• Lead design workshops, proofs of concept, and architecture walkthroughs with client teams.
• Codify patterns and learnings to scale across engagements and grow the FDE practice.

Conoscenze

Cloud-native systems

Agentic AI solutions

AI platforms (OpenAI, Claude, Vertex)

CI/CD & IaC

End-to-end deployment ownership

Executive stakeholder communication

Strumenti

Terraform

Helm

Descrizione del lavoro

Role Description

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.

The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key 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

Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the job level is under the B2 National Collective Bargaining Agreement. The gross annual salary range is between 32,000 and 54,900 EUR.

Basic 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