• Advance AI Capabilities: Contribute to early-stage development of initial-phase AI systems for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data. • Outcome-Driven Engineering: Deliver outcomes through software and models, ensuring projects are aligned with business objectives. Ask questions, disambiguate complexity, document your thinking, and deliver results. • AI System Design: Work backwards from extremely complex business problems to collaborate on the design of AI components and abstractions that solve intricate problems in a maintainable and logical way. Support the scalability and operational excellence of AI systems in production environments. • Bring Rigor to Science Decisions: Be accountable for scientific decisions to deliver outcomes. Ensure proper evaluation datasets, correct metrics to connect outcomes to models, appropriate model architecture, and effective data flywheels for iterative improvement. • Mentorship and Best Practices: Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture. • Team Growth: Contribute to hiring efforts and help identify top AI talent. Participate in interviews and provide thoughtful feedback to strengthen the team.