AI Platform Engineer, Enablement and Governance Operations

📋 Description

• Design and build the technical layer of the AI platform, from integration surface to production
• Own the governed integration gateway as an engineering surface. You'll handle connector onboarding
• Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and
• Configure and operate tiered spend controls across the AI estate. Set caps by role and tier, build
• Implement the technical controls behind policy on data handling, retention, and model eligibility.
• Work directly with teams to unblock them. Sit with them, understand the workflow, build or

🎯 Requirements

• Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform.
• Demonstrated ability to build and ship working software, not just configure vendor products. Python
• Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use
• Working knowledge of identity and access. Okta or an equivalent IdP, OAuth, SCIM, SSO, and
• Operational discipline. You understand intake queues, SLAs, runbooks, escalation hygiene, and the
• Genuine teaching ability. You can explain a technical capability three different ways on the same