AI Solutions Architect

- Define AI evaluation and quality engineering strategies - Define document ingestion chunking and embedding pipelines - Define observability operations and governance controls - Define prompt and context assembly patterns - Design AI security identity and trust architecture - Design end to end enterprise AI architectures - Design multi model and model routing architectures - Design retrieval augmented generation knowledge architecture - Design secure reliable AI agents and workflows - Establish retrieval security authorization and provenance controls - Implement automated evaluation gates - Implement human in the loop and approval controls - Perform AI threat modeling and risk mitigation - Select AI models and evaluation criteria - Translate business requirements into technical designs