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