• Oversee the design, development, and deployment of AI features within Chamberlain products such as: Video-based search using LLMs, Chatbot interfaces for search and AI-generated insight, backend pipelines and APIs for AI feature delivery. • Architect and build agentic AI systems using LLMs, RAG, MCP, tool integration, and orchestration frameworks. • Design role-based architectures where agents collaborate through coordination protocols and memory management. • Build, test, and optimize pipelines using tools such as LangChain, LangGraph, and CAMEL. • Develop systems for agent reasoning, planning, and long-term memory retrieval to enable contextual conversations and task execution. • Work across product, engineering, and AI research teams to ensure scalable and performant deployment of assistants. • Drive decision-making around tooling, infrastructure, observability, and production-readiness. • Mentor engineers across the org in AI-native engineering patterns, architecture, and LLM ecosystem evolution. • Ensure end-to-end delivery across frontend, backend, and ML components, and drive code quality, scalability, and maintainability best practices. • Act as the technical voice in roadmap discussions and sprint planning. • Define engineering workflows, coding standards, and agile practices. • Track and improve delivery velocity, quality metrics, and GenAI tool adoption.