Staff Engineer, AI Operations & Governance, Workplace AI (R5428)
Remote · USD 200,000-300,000 / year · 5-7 years experience · Remote · Posted Sep 22, 2026
At a glance
- Experience
- 5-7 years experience
- Workplace
- Remote
- Location
- Remote
- Salary
- USD 200,000-300,000 / year
About the role
- This is a deeply technical individual contributor role reporting to the Head of AI Operations & Governance (Enterprise AI).
- The person will own significant portions of the technical operating load for workplace AI including platform configuration, integrations, observability, and secrets hygiene.
- The role also serves as a hands-on technical responder for workplace AI incidents and production issues.
Responsibilities
- Implement and maintain AI platform configurations
- Manage connectors, integrations, and data access paths
- Own observability wiring for AI tools
- Handle secrets and access hygiene
- Execute model and configuration changes in production
- Support technical evaluations and benchmarking
- Translate technical signals into governance and risk views
- Contribute to playbooks and training
- Coordinate and communicate on incidents and changes
Requirements
- 5–7+ years in roles such as platform engineer, DevOps/SRE, ML/AI operations, or technical SaaS operations, with hands-on responsibility for production systems
- Strong fluency in APIs, integrations, and infrastructure-as-config concepts
- Hands-on experience with monitoring and observability tools and using them to diagnose issues and guide improvements
- Practical experience working with at least one class of AI or automation platforms
- Comfort with secure secrets management and access control practices
- Ability to document technical work and decisions clearly for both technical and non-technical audiences
- Strong ownership mindset, bias to action, and comfort operating close to production in a high-stakes environment
Preferred qualifications
- Experience in ML/AI ops specifically
- Familiarity with prompt engineering, policies/guardrails, and configuration patterns for LLM-based systems
- Exposure to governance, compliance, or risk frameworks for data-driven or AI systems
- Experience collaborating with Security, Legal, and business stakeholders on technical risk and mitigation
- Prior involvement in incident response, change management, or on-call rotations for critical systems
Benefits
- Bonus
- Benefits
- Equity
- temporary benefits package
Skills
- APIs
- JSON
- YAML
- LLM
