# Staff Engineer, AI Operations & Governance, Workplace AI (R5428) at Shield AI

- Company: Shield AI
- What the company does: Autonomy for the world. Backed by a16z.
- Company website: https://shield.ai
- Type: Startups (AI role)
- Level: Senior
- Location: Remote
- Work setup: Remote
- Pay: $200K to $300K base salary per year (USD)
- Posted: 2026-09-22
- Apply by: 2026-11-06
- Apply: https://jobs.lever.co/shieldai/9b5488c4-b23c-47a2-8afe-a8c64915bd1c
- Page: https://www.1752.vc/careers/jobs/shield-ai-staff-engineer-ai-operations-and-governance-workplace-ai-r5428/

## About the role

Own day-to-day configuration of AI platforms and orchestration tools (models, routes, guardrails, tenants, policies, role mappings, prompt libraries, etc.). Design, configure, and maintain connectors and extensions into SaaS systems, data sources, and workflow tools; ensure connectivity is reliable, secure, and aligned with access policies.

## What they're looking for

- · 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, able to work in code/JSON/YAML configuration environments and with automation where appropriate
- · Hands-on experience with monitoring and observability tools (logs, metrics, alerts) and using them to diagnose issues and guide improvements
- · Practical experience working with at least one class of AI or automation platforms (LLM providers, AI productivity tools, RPA/workflow engines, or similar)
- · Comfort with secure secrets management and access control practices (roles, permissions, key rotation, least-privilege patterns)
- · Ability to document technical work and decisions clearly for both technical and non-technical audiences

Tags: Enterprise Operations