evaluation, responsible AI controls and enterprise integration patterns.Data and AI platform architecture on AWS, including data ingestion, governance, feature management, model lifecycle management, MLOps, observability and secure deployment of AI workloads.Container technologies such as Docker and associated orchestration platforms including Amazon EKS, Kubernetes, Amazon ECS and OpenShift.Infrastructure as code development … deployment, release management and testing toolchains using GitHub, Jenkins, AWS native developer tools and modern source control practices.Knowledge of AWS security, identity, networking, resilience, observability and performance considerations, including exposure to security and performance testing processes.Experience helping clients define technical, non-functional, security and operational requirements for AWS-based solutions.AWS ...