RAG Architect / GenAI Solutions Architect
Summary
Designs and leads end-to-end Retrieval-Augmented Generation (RAG) architectures for enterprise AI applications — document ingestion, chunking, embedding, indexing, retrieval, and generation pipelines — using LLMs, vector search, and AI orchestration technologies. Senior remote role requiring 13 years of experience.