Experience with cloud-native AI/ML services and infrastructure across major providers - e.g., managed GenAI/ML platforms (AWS Bedrock/SageMaker, Azure OpenAI Service/Azure ML, GCP Vertex AI), serverless compute (Lambda/Azure Functions/Cloud Functions), container orchestration (ECS/EKS, AKS, GKE), managed search/vector stores (OpenSearch, Azure AI Search, Elasticsearch), and object storage (S3, Blob Storage, Cloud Storage). Provide technical leadership for AI initiatives (e.g., conversational AI/chatbots, predictive analytics, intelligent automation), partnering with product management, architecture, and engineering leadership to solve healthcare-specific challenges.