Lead the end-to-end development of critical AI subsystems in healthcare, from algorithmic direction through implementation, validation, optimization, and deployment readiness.

Translate business and open-ended requirements into clear technical strategies and execution plans.

Drive agent-assisted development by leveraging agentic AI to accelerate execution while maintaining accountability for technical outcomes.

Critically review AI-generated code and artifacts to ensure technical rigor, quality, and reliability.

Design and implement scalable, high-performance AI/ML and computer vision solutions.

Oversee model evaluation, inference optimization, and deployment for real-world applications.

Collaborate with cross-functional, different geographically located teams to deliver robust AI solutions aligned with business ...