• Lead architecture and implementation of large scale healthcare data and AI platforms • Design end to end solution architectures spanning cloud infrastructure, data pipelines, AI ML systems, and application layers. • Build and operationalize advanced AI capabilities including LLM based systems, RAG pipelines, and model orchestration frameworks. • Apply strong statistical fundamentals to model design, validation, performance measurement, and decision making. • Work directly with customer environments that are complex, fragmented, and imperfect and drive solutions to production despite constraints. • Develop and deploy systems that handle large volumes of healthcare data including claims, clinical, and financial datasets. • Own reliability, performance, scalability, and security of deployed solutions. • Integrate AI solutions into existing enterprise workflows and systems • Troubleshoot and resolve complex data quality, system, and model issues in production. • Collaborate closely with product and engineering leadership to align platform capabilities with real world needs. • Establish technical standards and best practices across data engineering, AI ML, and cloud architecture. • Mentor senior engineers and raise the technical bar across teams