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About the role
Senior Lead Snowflake & AI Engineering (Hybrid | 3 Days Onsite | Enterprise AI Initiatives) Location: Chennai / Pune / Noida (Office Location) or Hyderabad (Client Location shared during interview process) Work Model: Hybrid 3 Days Onsite per Week Employment Type: Permanent Open Positions: 4 Experience Required: 712 Years Immediate hiring need. We are actively shortlisting candidates apply now to be considered. About the Opportunity Our client, a fast-growing technology consulting and analytics organization, is expanding its enterprise data and AI practice and seeking a Senior Lead Snowflake & AI Engineering. This is a high-impact leadership role focused on designing scalable Snowflake data platforms and building AI-powered conversational analytics solutions using LLM technologies. You will lead architecture, mentor engineers, and deliver production-grade AI and data solutions for enterprise functions including HR, Sales, Finance, and Supply Chain. If you enjoy building intelligent data ecosystems and enterprise-grade AI applications this role is built for you. Key Responsibilities Snowflake Data Architecture & Engineering - Design and optimize scalable data models (Star Schema, Snowflake Schema, Data Vault) - Build high-performance ELT pipelines using Snowflake-native capabilities - Implement RBAC, governance frameworks, and security policies - Perform performance tuning, clustering optimization, and warehouse sizing - Drive cost-productive Snowflake architecture decisions AI Engineering & LLM Implementation - Develop and deploy AI agents using Snowflake Cortex LLM or similar platforms - Design Retrieval-Augmented Generation (RAG) frameworks on enterprise datasets - Build vector embeddings and semantic search layers - Implement prompt engineering strategies with enterprise guardrails - Ensure explainability, compliance, and security of AI outputs Conversational Analytics Development - Build natural language-driven enterprise an .
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