Define scope and roadmap for multi-team initiatives, drive cross-team and cross-functional alignment across AI Science, engineering, and product, and mentor senior engineers to raise the organization's technical bar. Build reliable, performant ML infrastructure across research, staging, and production: data, training, and inference pipelines, CI/CD, observability, and reproducible workflows, tuned for latency, throughput, and resource usage.