Role Summary: Design the architecture for deploying scalable, observable, and compliant AI/ML solutions integrated with clinical workflows and hospital data platforms. Responsibilities: Architect end-to-end ML pipelines using Airflow, and MLFlow or Vertex AI Build containerized model inference systems deployed on Kubernetes with AppDynamics and observability Full ownership of model lifecycle: development, deployment, drift monitoring Proficient with Google Cloud Platform Vertex AI, Azure ML, con