Deliver a fixed-scope implementation engagement that maps one customer workflow, selects the appropriate managed AI^? services, and builds a contract-validated pipeline from data preparation through deployment and monitoring. The engagement includes architecture documentation, operational runbooks, knowledge transfer, and a production-readiness review.

Foundation-model adoption is moving from experimentation to deployment, while model scale and infrastructure complexity make manually assembled pipelines difficult to operate. Multiple hiring signals show demand for specialists who can translate AWS^? AI^? capabilities into practical customer workflows.