Overview The AI Observability Architect is a senior technical leader responsible for designing, deploying, and operating an enterprise-grade, production-ready AI observability platform that spans the full spectrum of modern agentic AI - from large language model (LLM) workflows and multi-agent orchestration to physical AI systems, reinforcement learning harnesses, multi-modal pipelines, and agentic marketplaces. The architect leads the convergence of AI observability with safety & security (including red teaming), Responsible AI (RAI), data science, physical AI, memory/skills engineering, agent fleet management, self-evolving harnesses, reinforcement learning, agent-to-agent protocols (A2A, UCP, AP2), and continuous quality engineering - making this a uniquely broad and high-impact role within the AI Solutions & Platforms organization.