Start as a productized implementation service that installs a reusable production deployment stack for one workload: Terraform modules, Kubernetes or ECS deployment templates, GitHub Actions or ArgoCD pipelines, observability, rollback, secrets handling, and runbooks. The first delivery can be fulfilled by a small senior platform engineering team using opinionated reference architectures for AWS, EKS, ECS, GCP, or Azure. Over time, repeated modules, checklists, and policy packs can become a packaged accelerator or managed platform service.

AI products are moving from prototype to production, and teams now need secure, repeatable deployment workflows rather than one-off experiments. Hiring demand across many companies suggests the capability is scarce and urgent.