Forward Deployed Engineer Manager

Overview

As a Forward Deployed AI Engineer, you embed with client teams to turn AI platform capabilities into measurable business value in real enterprise environments. You own outcomes such as time-to-value, adoption, reliability, and scalability across multiple workstreams, not just delivery milestones. You work on enterprise-scale AI deployments, shaping strategy and reusable patterns for the FDE practice. This role puts you at the interface of technology and business leadership, tackling hard AI adoption challenges and delivering production-ready solutions. You join a growing deployment engineering cohort that tackles high-impact, cross-industry AI problems.

Responsabilità Lead enterprise AI platform deployments across complex client environments and partner ecosystems, owning architecture through adoption

Own programme-level delivery outcomes including time-to-value, reliability, adoption velocity, and scalability with commercial metrics

Drive rapid experimentation to transform ambiguous business problems into production systems within days or weeks

Architect and govern enterprise AI solutions across identity, data, security, governance, and multi-system integration at programme scale

Shape reinvention strategy for client leadership with value architectures, ROI backlogs, and multi-year adoption roadmaps

Define and publish reusable blueprints, patterns, and accelerators for scaling across client engagements

Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite teams

Codify delivery learnings and engineering standards to evolve the FDE practice

Requisiti fondamentali Extensive engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)

Deep expertise in agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production

Experience with AI platforms—OpenAI, Claude, Vertex AI, and open-source models—and building abstraction layers for multi-provider pipelines

Experience leading software engineering teams and owning delivery across workstreams

Proven end-to-end delivery ownership in client-embedded environments

Ability to quantify business value deployments in CFO-recognizable terms

Experience presenting to senior client stakeholders (CTO, CFO, CISO)

Non-linear profiles welcomed; emphasis on deployment outcomes over CV patterns

People leadership: managing and developing a team of engineers and conducting career conversations

stakeholder management

business-value communication

leadership and people management

cloud-native architectures

APIs and microservices

containerization and serverless