Description

•  10–15 years in AI, ML, or enterprise architecture roles. • Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms. • Strong hands-on experience with: o Python o Cloud ML platforms-Azure o Vector DBs (Pinecone, DB-Vector) o LangChain / LlamaIndex or similar orchestration frameworks o Fine-tuning & embeddings • Experience/familiarity with document chunking, knowledge graphs, and vectorization • Expertise in document AI, NLP, and unstructured data processing. • Strong architectural skills across: o Data pipelines o APIs and event-driven systems o Containerization (Docker/K8s) o Security-by-design • Experience in financial services, preferably in commercial real estate credit, servicing, or asset management

Key Skills

Education

Bachelor's degree