Own and scale the AI infrastructure: optimize Cloud Run and Datastore, build CI/CD and deployment pipelines, tune performance for sub-second latency, manage scraping/browser pools and batch workflows, implement monitoring/observability, and collaborate with AI engineers to deploy and serve models reliably at production scale.