Design, build, and deploy scalable, AI-enabled microservices using AWS, Node.js, and Python. Use AI-assisted tools and LLM integrations to reduce development time and increase code quality. Rapidly develop, test, and operationalize AI-driven product ideas. Implement secure APIs, event-driven pipelines, and FHIR-based interoperability patterns. Build APIs and pipelines that convert ML outputs into decision-ready intelligence. Guide engineers in secure coding, scalable architecture, and AI-integrated development best practices. Implement monitoring, logging, and automated alerting. Ensure all AI-enabled components meet HIPAA, VA, and NIST security requirements. Partner with clinicians, product managers, and compliance stakeholders. Lead performance tuning, cost optimization, and technical debt reduction initiatives. Develop and maintain shared libraries, SDKs, and automation templates. Evaluate and recommend emerging AI technologies, frameworks, and cloud services.