FDEE
The eval engineer role nobody talks about
In short: Forward Deployed Eval Engineers keep production agents accurate, safe, and compliant after go-live through continuous evaluation, guardrails, and drift monitoring.
Published 2026-06-10 · Updated 2026-07-01
Build is only half the job
Teams celebrate when an agent passes a demo. Six weeks later, model updates, data drift, and new edge cases erode accuracy, often silently. Someone has to notice before a customer or regulator does.
That someone is an FDEE. They embed alongside FDEs and own the eval layer as a first-class engineering discipline.
What FDEEs build
- Eval harnesses tied to business outcomes, not vanity accuracy scores
- Policy guardrails for regulated workflows
- Drift detection and regression alerts in production
- Compliance reporting for security and legal review
- Iteration loops as models and products change
Why this isn't traditional QA
Agent behavior is non-deterministic and context-dependent. Offline test suites miss production failure modes. FDEEs design continuous, production-grounded evaluation: closer to SRE for AI than manual QA checklists.