• Lead teams in charge of end-to-end development of Conversational AI Agents, from ideation and prompt engineering to production deployment and evaluation • Partner with Product to identify high-impact AI Agent and Chatbot opportunities for workflow automation • Educate the organization on LLM capabilities and trade-offs (latency, cost) to drive superior customer experiences • Oversee data curation, knowledge base construction, and feedback loops essential for successful RAG pipelines • Implement scalable LLMOps frameworks for supporting, evaluating, and securing agent deployments • Research and apply advanced techniques (multi-agent systems, function calling, fine-tuning) to enhance agent capabilities • Align with Engineering and Product leadership on roadmaps to ensure timely delivery of robust production agents • Stay abreast of GenAI trends and integrate new architectures to advance organizational goals • Design and scale a high-velocity AI Engineering organization, focusing on leadership development, organizational culture, and global talent acquisition strategies to sustain rapid growth