Description

You will architect and build advanced AI solutions for enterprise platforms.

This role is on-site.

Responsibilities

• Architect RAG systems, vector search, and LLM-based knowledge platforms.
• Design data pipelines and event-driven systems supporting AI services.
• Implement security-by-design principles across all architectures.
• Process unstructured data using Document AI and NLP techniques.

Required Skills

• 10+ years in AI, ML, or enterprise architecture.
• Expertise in RAG, LLM, Python, and NLP.
• Hands-on experience with Azure Cloud ML platforms.
• Proficiency with Vector DBs (Pinecone, DB Vector).
• Experience with orchestration frameworks like LangChain or LlamaIndex.
• Familiarity with document chunking, knowledge graphs, and vectorization.
• Skills in Containerization (Docker/K8s).
• Experience in financial services, preferably commercial real estate credit, servicing, or asset management.

Key Skills

Education

Any Graduate