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, including connector onboarding
• Build internal tooling to extend the platform, including agent scaffolding, reusable skills and
• Configure and operate tiered spend controls across the AI estate, including setting caps, building
• Implement technical controls for data handling, retention, and model eligibility, including SSO and
• Work with teams to understand workflows and build or configure tools to enable leverage.

🎯 Requirements

• Enterprise SaaS administration at 1,000+ seats, ideally including an AI or LLM platform.
• Demonstrated ability to build and ship working software; Python or a comparable language, and
• Experience integrating against LLM and SaaS APIs with working familiarity of agent and tool use
• Working knowledge of identity and access, including Okta or equivalent IdP, OAuth, SCIM, SSO, and
• Operational discipline: understanding intake queues, SLAs, runbooks, and escalation hygiene.
• Genuine teaching ability to explain technical capabilities to diverse audiences.