Lead Gen AI (Snowflake Cortex)

Tredence Inc.; Hyderabad, Pune District, Bengaluru; Vor Ort; INR 3.500.000 - 7.500.000; Vollzeit

Zusammenfassung

Tredence Inc. is seeking a Lead Data Scientist focused on GenAI and intelligent applications, leveraging Snowflake Cortex to architect scalable enterprise AI inside the Data Cloud.

The role demands senior technical leadership, LLM expertise, and orchestration across data, model, and governance layers. The candidate will drive the migration to Snowflake-native AI architectures, lead multi-modal GenAI solutions, and mentor mid-to-senior data scientists in delivering secure, cost-efficient

Qualifikationen

• 8-12 years of professional experience in Data Science or ML/NLP with 3+ years deploying production GenAI systems.
• Deep familiarity with Snowflake Cortex tools and Snowflake Cortex SQL/Python functions.
• Experience building LLM pipelines, RAG frameworks, and agentic AI systems.

Aufgaben

• Design, develop, and operationalize enterprise GenAI solutions inside Snowflake Cortex AI.
• Lead Cortex-based architecture, data modeling, and governance for secure, low-latency AI.
• Mentor senior data scientists and drive cross-functional collaboration across AI, data engineering, and analytics teams.

Kenntnisse

GenAI experience

Python

SQL

Leadership

Prompt engineering

LLMs

MLOps

Ausbildung

Bachelor's/Master's/PhD in CS/DS/AI

Advanced degree in quantitative STEM

Tools

Snowpark (Python/Scala)

Snowsight UI

Snowflake Cortex (Analyst, Search, Agents)

LangChain

LlamaIndex

LangGraph

dbt

Apache Airflow

Vector embeddings

Jobbeschreibung

Job Description: Lead Data Scientist ai Generative AI (Snowflake Cortex Platform)
Job Title: Lead Data Scientist ai GenAI & Intelligent Applications
Experience Level: 8-12 Years
Location: Hybrid
Department: AI, Data Science & Advanced Analytics

Role Overview
As a Lead Data Scientist / GenAI Expert, you will architect and scale our next-generation enterprise AI capabilities natively inside the Data Cloud. Leveraging Snowflake Cortex AI, you will bridge the gap between heavy enterprise data assets and cutting-edge GenAI applications, including multi-modal systems, automated text-to-SQL data interfaces, and autonomous AI agents.
This is a senior technical leadership role requiring deep expertise in Large Language Models (LLMs), vector databases, and orchestration frameworks. You will lead the migration from complex, decoupled AI infrastructure to secure, low-latency, and cost-effective Snowflake-native AI architectures.
Key Responsibilities -

• Cortex Solution Architecture: Design, develop, and operationalize enterprise GenAI solutions utilizing Snowflake Cortex AI tools (such as Cortex Analyst, Cortex Search, and Cortex Agents).
• LLM Pipeline Engineering: Build and optimize framework-agnostic LLM pipelines, prompt engineering pipelines, and complex Retrieval-Augmented Generation (RAG) frameworks using custom enterprise datasets.
• Agentic AI Development: Champion the design of autonomous Agentic AI systems capable of semantic reasoning, tool calling, and workflow execution directly against structured and unstructured enterprise data.
• Model Fine-Tuning & Evaluation: Evaluate, fine-tune, and deploy state-of-the-art open and closed foundation models (e.g., Llama, Mistral, Anthropic).
• Semantic Modeling: Standardize semantic views, metrics, and relationships to empower Cortex Analyst to seamlessly convert natural language business questions into precise, high-performing SQL.
• Data Native DevSecOps: Integrate GenAI solutions with data-engineering orchestration platforms like dbt and Apache Airflow using the Cortex Code CLI workflow.
• AI Governance & Compliance: Enforce enterprise-grade security and role-based access control (RBAC), ensuring that LLMs strictly inherit the native data governance policy configurations of the warehouse.
• Technical Mentorship: Drive the internal engineering community forward by conducting code reviews, setting LLM performance benchmarks, and mentoring mid-to-senior data scientists.

Required Technical Skills & Experience-

• Overall Experience: 8-12 years of professional experience in Data Science, Machine Learning, or NLP, with at least 3+ years completely focused on deploying production GenAI systems.
• Snowflake Core Expertise: Deep practical familiarity with Snowpark (Python/Scala), Snowsight UI, and Snowflake database internals.
• Snowflake Cortex Skills: Hands-on experience executing Snowflake Cortex SQL/Python functions (COMPLETE, SIMILITY, EMBED_TEXT) and designing end-to-end applications with Cortex Search or Analyst.
• GenAI Orchestration: Fluency with frameworks like LangChain, LlamaIndex, or LangGraph for building multi-turn conversational agents.
• Vector Infrastructure: Proven track record utilizing native Snowflake VECTOR data types, embeddings, and similarity metrics.
• Core Languages: Mastery of Python and advanced data architecture SQL.
• Cloud Architecture: Familiarity with deploying underlying cloud ecosystems (AWS, GCP, or Azure) that anchor modern data lakehouses.

Soft Skills & Leadership Qualities-

• Translational Leadership: Exceptionally ability to distill abstract business requirements into highly accurate prompt blueprints and vector schemas.
• First-Principles Engineering: Passionate about minimizing latency, managing token cost variations, and optimizing context windows across varying model dimensions.
• Cross-Functional Collaboration: Ability to work dynamically across the Data Platform, MLOps, and specific Business Units to validate true product-market fit.

Education & Qualifications-

• Bachelors, Masters, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Computational Linguistics, or an equivalent quantitative STEM discipline.