As AI adoption accelerates, platform engineering teams face new challenges in governing how developers build and consume AI capabilities. This session explores how to design intelligent developer experiences that embed AI responsibly, combining productivity with strong governance. We'll cover how to enable self-service deployment of AI-infused applications while enforcing controls through CNCF projects like OPA/Gatekeeper for policy enforcement, Kyverno for workload validation, and OpenTelemetry for auditing AI interactions. Learn how to expose AI inference as a managed service within your internal developer platform using tools like KServe or Kubeflow, with built-in gateways and guardrails for access control, usage quotas, and monitoring. We'll share patterns to track model usage, ensure data compliance, and prevent shadow AI by aligning platform workflows with enterprise governance standards—empowering developers without compromising trust, transparency, or security