Build and operate scalable AI/ML infrastructure, model services, developer tools, and automated training, evaluation, deployment, and monitoring workflows. Manage workloads on AWS and Kubernetes, optimize model inference and resource usage, implement observability, governance, security controls, and incident response, and improve reproducibility and release processes. Partner with Engineering, ML, SRE, Compliance, and Security teams while mentoring teammates and developing reliable AI capabilities.