Sr. Principal Data Scientist

About the role

An ideal fit for this role would be someone who has experience in Data Engineering and transitioned to design and built advanced data science and AI solutions across the enterprise. This role operates at the intersection of data science, data engineering and AI engineering, driving high‑impact use cases in machine learning, and Generative AI while ensuring responsible, secure, and scalable adoption.

What you'll do

• AI & Advanced Data Engineering Architecture
• Lead design and adoption of AI-powered data engineering solutions leveraging Azure AI, Snowflake Cortex AI, and modern LLM ecosystems
• Architect and implement RAG (Retrieval-Augmented Generation) patterns , semantic search, agent-based workflows, and intelligent data products
• Define scalable patterns for LLM integration with enterprise data platforms , including prompt orchestration, context management, and grounding strategies
• Establish best practices for model evaluation, monitoring, guardrails, and responsible AI implementation

What you need

• 15–27 yrs of experience
• Machine learning
• LLMs
• Python
• Snowflake
• Data modelling
• MLOps
• Any graduate

Good to have

• ServiceNow
• Prompt engineering
• Azure
• PostgreSQL
• Microservices
• Data privacy