• Architect and build the foundational LLM architecture (RAG, Agents, Vector DBs) that powers high-impact product features across the organization. • Design and deliver high-performance, distributed systems (data pipelines, APIs, microservices) that process healthcare data at scale and securely integrate LLM outputs into the user experience. • Drive Proof-of-Concepts (POCs) and technical evaluation of new AI technologies to validate their product viability and scalability. • Design and build responsive web applications using modern frontend frameworks to deliver intuitive, user-facing intelligence and analytic features. • Ensure observability, monitoring, and operational excellence, championing security and regulatory compliance (HIPAA, SOC2). • Drive system design and technical planning for all critical projects, including large, complex, and cross-functional initiatives across the organization. • Partner strategically with Product, Operations, and Design leadership, translating complex business requirements into technical strategies and influencing roadmap prioritization. • Mentor engineers at Software Engineer I, II, and III levels, accelerating their technical growth and leadership development. • Educate the organization on the capabilities, best practices, and limitations of using LLMs and applied AI within the healthcare domain. • Define and implement engineering standards, patterns, and best practices that significantly improve scalability, reliability, and developer productivity across the product.