As AI evolves from isolated model development to system-level deployments, enterprise AI engineers face increasing complexity in tooling, governance, and operational workflows. This session explores how open source technologies—Podman Desktop, RamaLama, and Llama Stack—can streamline the design and delivery of secure, scalable, and reproducible agentic AI systems. Attendees will follow an end-to-end user journey: starting from secure container-based local experimentation, advancing through modular multi-agent RAG workflows, and culminating in OCI-compliant model packaging and Kubernetes-native deployment. We’ll dive into practical strategies for integrating model governance via the LF AI & Data Model Openness Framework, achieving robust supply chain security, and enabling observability across the AI lifecycle. Whether you're building internal AI platforms or modernizing MLOps, this session reveals how open tooling empowers teams to confidently operationalize next-gen AI systems at enterprise scale.