Forward Deployed Engineer Manager

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.

Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full   programme   from architecture through adoption   Own   programme -level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached   Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments   Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at   programme   scale   Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case   prioritisation   frameworks, and multi-year AI adoption roadmaps   Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice   Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams   Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers     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 A1 National Collective Bargaining Agreement. The gross annual salary range is between 50,000 and 86,700 EUR. #LI-EU #LI-MP Basic Qualifications   Extensive and 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.   Extensive and 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 leading software engineering teams: overseeing delivery,   allocating   resources across workstreams, and owning the professional development of direct reports"   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