AI Governance Engineer

AI Governance Engineer
Build practical AI governance that helps teams move quickly and responsibly.
Through Nebulai’s marketplace, you help enterprise teams establish operating models for GenAI, agent, and ML systems: decision rights, risk tiers, model inventories, evaluation standards, data controls, and escalation paths. You partner with legal, security, compliance, and product so governance becomes a usable part of delivery rather than a gate at the end.
You’ll be a strong fit if you:
- Have designed or operated AI/ML governance programs for mid-market or enterprise
- Can translate regulatory and model-risk requirements into practical controls and workflows
- Align stakeholders across legal, security, compliance, engineering, and product
- Track changes in models, agents, vendors, and regulations and keep governance current
Bonus if you’ve:
- Built governance for multi-agent, RAG, or human-in-the-loop systems
- Worked in regulated or high-stakes environments
- Connected governance to evaluations, monitoring, release gates, or cloud controls on AWS, Azure, or GCP
Contract AI governance work via Nebulai. Apply at https://nebulai.app

Work arrangement
Yes