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Open nowFirst seen 5 days ago

Senior Lead – Snowflake & AI Engineering (Hybrid | 3 Days Onsite)

Core Talent Finder65 open roles

Where
Chennai, Tamil Nadu, India
Work mode
Hybrid
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Your applicationOpen nowSenior Lead – Snowflake & AI Engineering (Hybrid | 3 Days Onsite)Core Talent Finder · Chennai, Tamil Nadu, India

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The clock on this job

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Share of postings closed within
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  2. 4.5%3 days
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  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

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: 7–12 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-efficient 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 analytics solutions
  • Deliver persona-based insights for business stakeholders
  • Integrate structured and semi-structured data sources
  • Partner with BI/UI teams to enable insight consumption

Technical Leadership & Delivery Ownership

  • Lead a team of 3–6 engineers
  • Provide architectural guidance and conduct code reviews
  • Own end-to-end solution delivery (design to deployment)
  • Participate in sprint planning and stakeholder communication
  • Mentor junior engineers on Snowflake and AI best practices

Business Collaboration

  • Translate functional requirements into scalable analytical solutions
  • Develop KPI frameworks aligned to business objectives
  • Identify AI-driven automation opportunities across enterprise functions

Required Qualifications

  • 7–12 years of experience in Data Engineering / Analytics Engineering / AI Engineering
  • 4+ years of hands-on Snowflake Data Warehouse experience
  • Strong dimensional data modeling expertise
  • Experience building conversational AI or RAG-based systems
  • Hands-on experience with Snowflake Cortex LLM or similar LLM platforms
  • Strong SQL and Python proficiency
  • Experience with data governance and performance optimization
  • Background working in Agile delivery environments

Preferred Qualifications

  • Snowflake Certification
  • Exposure to MLOps and model deployment practices
  • Functional domain experience in at least two areas: HR, Sales, Finance, or Supply Chain

Whats in It for You

Compensation: ₹25,00,000 – ₹38,00,000 (Based on experience)

Lead enterprise AI transformation initiatives

Work on cutting-edge LLM and Snowflake implementations

Leadership exposure with architectural ownership

Stable, long-term permanent opportunity

Enterprise-scale, cross-functional impact

Fast-track career growth in AI and advanced analytics

This is a strategic, visible role with strong technical ownership and long-term growth potential.

Ready to take the lead in enterprise AI and Snowflake architecture?

Apply today — interviews are already underway.

We are actively shortlisting candidates with a 1-month notice period (serving notice preferred).

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