Lead the architecture and implementation of production-grade MLOps infrastructure, including ML pipelines, Terraform automation, SageMaker training, model monitoring, CI/CD, model registries, and lifecycle governance. Ensure platform reliability, scalability, reproducibility, and regulatory compliance. Drive architecture reviews, technical standards, mentoring, and collaboration with platform, security, and quality teams.