AI Platform Engineer, Enablement and Governance Operations

Responsibilities

• Design and build the technical layer of the AI platform, from integration surface to production runbook.
• Identify capability gaps between what's possible and what the organization can safely use, then close them by evaluating vendors or building internally.
• Own the governed integration gateway as an engineering surface. You'll handle connector onboarding, authentication flows including OAuth and federated identity, reliability, and vendor escalation when things break.
• Build internal tooling that extends the platform. Think agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and integrations between AI tooling and your systems of record.
• Implement the technical controls behind policy on data handling, retention, and model eligibility. This means identity integration, SSO and SCIM, entitlement by role and tier, and workspace configuration where retention terms differ by model class.
• Administer the enterprise AI estate end to end. Model turn ups, feature enablement, deprecation, provisioning queue, vendor configurations, and seat true ups.

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