Staff Applied AI Engineer
Core
Define standards for responsible AI, model governance, and production MLOps; architect high-reliability AI systems for public sector clients; act as senior technical partner on AI strategy.
Role type
Staff Applied AI Engineer (Public Sector)
Builds
Production-ready AI agents, fine-tuned models, evaluation methodologies, and MLOps practices for government and sovereign clients.
Domain
Public Sector / Government / Regulated AI
Deliverable
production ML models | product features | infrastructure
Required skills
AI/ML system ownership in production, model governance, MLOps, agent architecture, fine-tuning, hallucination mitigation, auditability, executive stakeholder management, technical roadmap planning, team coaching
Preferred skills
Experience with regulated/on-premise AI deployment, building reusable AI capabilities, resolving severe model safety incidents
Technologies
MLOps frameworks, agent platforms, fine-tuning tools, evaluation libraries
Responsibilities
Define and adopt standards for AI evaluation and MLOps; architect systems to prevent systemic failure; build reusable AI capabilities; advise on AI development adoption; coach senior engineers; represent AI work externally
Seniority
Staff, hands-on IC with strategic scope