• Lead the design, development, deployment, and optimization of AI solutions • Ensure solutions are production-grade, secure, compliant, and capable of delivering meaningful client and operational impact. • Drive agile execution, and translating healthcare business needs into scalable AI technology and data solutions. • Design, architect, and deploy enterprise-ready AI agents. • Develop and manage multi-provider abstraction layers across AI platforms. • Build cloud-native AI systems, using Kubernetes, Docker, microservices, serverless computing, event-driven architectures, CI/CD, and comprehensive observability stacks. • Tailor and implement industry-specific agentic workflows. • Partner with cross-functional stakeholders to define use cases, rapidly prototype solutions. • Conduct design workshops, POCs, and joint engineering sessions. • Define and monitor key metrics for agent accuracy, safety, latency, cost-efficiency, and reliability. • Ensure AI solutions comply with applicable industry and regulatory standards. • Create and maintain detailed documentation across model development, training, fine-tuning, deployment, and operational processes. • Provide technical leadership, mentorship, and guidance to junior engineers.