Forward Deployed Engineering: putting AI controls into the workflow
FDEs bring technical implementation close to users, making risk controls, evidence and operating ownership part of deployment.
Published 22 October 2026 · Editorial explainer
A Forward Deployed Engineer (FDE) is an applied engineer who works with the people and process where a system will run. In AI, the role covers problem discovery, integration, evaluation, deployment and handover. That makes the FDE a practical partner for risk teams that need controls to work in the operating environment.
FDE, explained
An FDE, or Forward Deployed Engineer, is an applied engineer who works close to the people facing a real operational problem. The role combines software and AI engineering with discovery, workflow design, evaluation, deployment, user support and handover. The goal is a system that fits the work and can be assessed in its real context.
AI risk and assurance practitioners: where to begin
For an internal assistant, questions include which sources are authoritative, whether users are permitted to see them, how unsupported answers are handled and who reviews actions. These decisions should appear in the system design and test set rather than only in policy documents.
Value comes from measured implementation
An FDE project can produce test evidence, permission maps, escalation rules, a named owner and rollback instructions. Risk teams still need independent review proportionate to the use case. NIST’s Generative AI Profile and OWASP’s GenAI security guidance can inform this work; neither substitutes for applicable law, sector rules or the organisation’s own risk assessment.
Set a baseline before a pilot. Use representative examples, include cases where the system should decline or escalate, and measure quality as well as speed. Keep people accountable for consequential decisions, use authorised data, and document how the system can be paused or changed.
Further reading
Learn the practice
StarApple AI’s applied Forward Deployed Engineer for AI course teaches the field loop through an eight-week curriculum and a capstone project.