Explore how LinkedIn's platform engineering team enables AI agents at enterprise scale in this 33-minute conference interview. Discover the orchestration of secure, multi-agentic systems and learn about the strategic role of Model Context Protocol (MCP) in enterprise AI implementations. Examine the distinction between foreground and background agents and their specific use cases in production environments. Understand how platform teams can improve developer experience while reducing operational toil when deploying AI systems at scale. Gain insights into the architectural decisions and engineering practices that enable reliable AI agent deployment in large-scale enterprise environments through real-world examples from LinkedIn's implementation.