Own the design and evolution of core capabilities within internal AI agent platform to support high-impact business workflows and AI agents. Define and improve deployment patterns, shared services, and orchestration approaches that enable complex agent use cases to run reliably. Partner with business stakeholders to translate high-priority strategic goals into scalable AI agent solutions. Work hands-on with builders to debug issues, answer technical questions, and unblock day-to-day development while also improving the underlying platform. Investigate failing repositories, run code locally when needed, and fix infrastructure or environment issues at the root cause. Build and maintain shared services—such as reusable modules, integration layers, logging patterns, and data access approaches—that multiple teams can leverage. Drive decisions around observability, governance, permissions, reliability, and cost-aware usage to ensure AI transformation is sustainable and secure. Help set technical direction for how new capabilities should be designed to create durable foundations rather than one-off solutions. Collaborate across engineering and business functions to identify and shape new high-value opportunities for agent-led innovation.