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.
The market is beginning to understand what leading technology companies have demonstrated: 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.
Hold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI — directly reported to client executive leadership
Drive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise




Define enterprise AI architecture standards and governance frameworks across the client organisation, spanning identity, data, security, multi-platform integration, and AI lifecycle management
Lead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory
Define the FDE practice model: engineering standards, deployment playbooks, talent development frameworks, and the capability architecture that the practice is built on
Very strong engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
Very strong 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 deploym

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