RAG Architect (Retrieval-Augmented Generation Architect)

We are seeking an experienced RAG Architect to lead the design, development, and implementation of enterprise-grade Retrieval-Augmented Generation (RAG) solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), vector databases, semantic search, AI orchestration frameworks, and enterprise knowledge integration platforms. This role will be responsible for building scalable, secure, and production-ready AI solutions that leverage enterprise data sources such as docu…