Principal Data Scientist - R01556906

About the role

The ideal candidate will lead the design, experimentation, and deployment of autonomous, multi-agent AI systems leveraging LLMs , knowledge graphs , and reasoning frameworks .

What you'll do

• Lead the architecture, experimentation, and fine-tuning of LLMs (e.g., GPT, Claude, Mistral, LLaMA, Falcon) for business-specific applications
• Drive Agentic AI POCs and production implementations using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel
• Design and implement multi-agent systems with human-in-the-loop decision-making, contextual reasoning, and memory management
• Collaborate with cross-functional AI engineering, data platform, and product teams to operationalize LLM-based solutions
• Develop fine-tuning and RAG pipelines using open-source and proprietary foundation models

What you need

• 14–22 yrs of experience
• Machine learning
• LLMs
• Data analysis
• Python
• Prompt engineering
• AWS
• M.Tech or PhD

Good to have

• NLP
• IPR
• MLOps
• R
• Databricks
• System design