Evaluates, applies and advances AI-assisted and agentic development practices and tools across the clinical software engineering lifecycle, including requirements exploration, rapid prototyping, solution design, code generation, refactoring, test generation, debugging, and documentation, to accelerate delivery while maintaining security, quality, maintainability, and appropriate human oversight. Designs, develops, secures, tests, and troubleshoots reusable APIs and integration solutions connecting clinical applications, enterprise platforms, vendor solutions, data platforms, and healthcare ecosystem partners using RESTful APIs, messaging, event-driven, and other modern integration patterns.