• Research & Innovation: Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. • Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. • Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. • Healthcare-Focused AI Development: Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. • Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). • Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. • Technical Leadership: Serve as the primary technical authority on Agentic and Generative AI within project teams. • Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. • Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. • Operational & Compliance Excellence: Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. • Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). • Partner with engineering to move research prototypes into production environments.