Own the production outcome: accountable for AI performance across government agencies.
Ensure Full-Stack integrity: oversee end-to-end health from APIs to UI.
Scale the feedback loop: build automated monitoring for model performance and drift.
Navigate global compliance: manage lifecycle within diverse regulatory frameworks.
Incident command: lead production issue responses in mission-critical environments.
Bridge the gap: translate technical metrics into insights for senior officials.

🎯 Requirements

Experience: 6+ years in high-impact SRE/FDE/MLOps (public sector).
Global perspective: familiar with international government security standards.
System architecture: proven end-to-end production lifecycle expertise.
Modern AI Stack: Kubernetes, vector databases, LLM observability.
Ownership: treat deployment as your own; proactive problem solving.
Reliability: understands public-sector risks to safety and privacy.

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