Direct experience building or operating AI/ML or GenAI workloads across cloud or on-premises infrastructure (Amazon Bedrock, SageMaker, vector databases, retrieval-augmented generation patterns, GPU-based training or inference, edge AI, or disconnected environments). The engineer partners with AI, architecture, cybersecurity, network, and application teams to deliver secure, cost-effective, production-ready infrastructure while supporting core cloud engineering services.