Description:
"10 18+ years total experience, including 5+ years as an AI/ML Architect.
" Strong expertise in LLMs, GenAI, RAG pipelines, embeddings, and vector databases.
" Hands on experience with ML frameworks (PyTorch/TensorFlow) and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).
" Cloud architecture experience across AWS, Azure, or GCP.
" Deep understanding of healthcare data (claims, EDI, clinical documents, payer/provider workflows). "
