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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 analytics solutions Deliver persona-based insight .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.