Forward Deployed Engineer Manager
Pubblicato il 25-10-2026 - Accenture in Lazio
Overview
As a Forward Deployed AI Engineer, you deploy AI platforms inside client enterprises, owning outcomes like time-to-value, adoption, reliability, and scalability.
You work across multi-stakeholder environments, translating platform capabilities into measurable business value.
You lead architecture, governance, and adoption strategy, shaping reinvention roadmaps.
This role offers enterprise-scale AI deployment across industries, with hands-on influence on CTO/CFO/CISO priorities.
Responsabilità
Lead enterprise AI platform deployments across complex client environments, coordinating architecture to adoption
Own programme-level delivery outcomes with time-to-value, reliability, adoption velocity, and scalability
Drive rapid experimentation to production systems within days/weeks in enterprise settings
Architect and govern AI solutions spanning identity, data, security, governance, and multi-system integration
Shape reinvention strategy for client CTO/CFO/CISO, including ROI backlogs and adoption roadmaps
Publish reusable blueprints, patterns, and accelerators for scale across engagements
Lead architecture design sessions and executive workshops with client leadership
Codify delivery learnings and engineering standards for the FDE practice
Requisiti fondamentali
Extensive 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
Experience with AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelines
Experience leading software engineering teams and managing delivery across multiple workstreams
End-to-end delivery ownership in client-embedded or production environments
Proven ability to quantify business value and communicate with senior stakeholders (CTO/CFO/CISO)
Experience presenting to senior client stakeholders and building trust at executive level
People leadership: managing, developing, and performance-managing engineers
Stakeholder management
Leadership and people development
Strategic thinking and business-value articulation
Cloud-native architectures (APIs, microservices, containerization, serverless)
Agentic solution design (agents, orchestration, context engineering, RAG, workflows)
AI platforms (OpenAI, Claude, Vertex AI) and multi-provider pipelines