Senior Data Science Lead - R01551335

Brillio; Chennai District; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

A leading technology firm in Chennai is seeking a Senior Data Science Lead to architect and scale AI solutions. The ideal candidate will have hands-on experience with LangGraph and can lead projects demonstrating tangible business impact. You will mentor a team while establishing best practices for deploying autonomous AI agents. This role aims to enhance enterprise efficiency through cutting-edge AI technology.

Qualifications

• Hands-on experience with LangGraph required.
• Experience in leading AI projects with tangible business impacts.
• Strong ability in optimizing autonomous AI workflows.

Responsibilities

• Architect and scale AI solutions using LangGraph.
• Mentor a team of AI Engineers and Data Scientists.
• Translate AI capabilities into enterprise solutions.

Skills

LangGraph

LLM orchestration

knowledge graphs

reinforcement learning

AI systems development

Tools

Pinecone

Weaviate

FAISS

Job description

Senior Data Science Lead

Key Responsibilities

1. Architect and scale Agentic AI solutions using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving.
2. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains.
3. Define and implement scalable architectures for LLM-powered agents that integrate with enterprise applications.
4. Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability.
5. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques to enhance agent reasoning.

Qualifications / Requirements

The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation.

• Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production.
• Mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures.
• Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.
• Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings.