GEN AI Sr Lead

Birlasoft Limited; Dadri; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Birlasoft Limited is seeking a GEN AI Sr Lead to drive advanced GenAI initiatives across pharma regulatory use cases. You will work with LangGraph, LlamaIndex, and MCP to build scalable agent-based AI solutions and deploy them in production environments.

You will lead cross-functional teams, design guardrails for LLMs, optimize model performance, and stay ahead of generative AI advances in a data-rich, regulated domain.

Qualifications

• 8+ years of experience in data science, AI/ML, GenAI and NLP.
• 2+ years in GenAI application development.
• Strong problem-solving and technical-solution skills.
• Experience with agentic AI frameworks and tools.
• Expertise in using paid and open-source LLMs and related tech.
• Experience with RAG, knowledge graphs, and NLP-to-SQL pipelines.
• Experience with large unstructured and data-lake data handling.
• Strong Python skills; knowledge of other languages desirable.
• Ability to deploy and optimize generative models in production.

Responsibilities

• Lead GenAI initiatives for pharma regulatory use cases.
• Develop and deploy agent-based AI solutions in production.
• Collaborate with cross-functional teams to meet business needs.
• Design guardrails and monitor model behavior and hallucinations.
• Improve data throughput with RAG and knowledge graphs.
• Architect scalable pipelines using cloud and Kubernetes.

Skills

GenAI

NLP

Python

FastAPI

Prompt engineering

RAG

Agents

LLMs

Azure

AWS

Kubernetes

PostgreSQL

Elasticsearch

NoSQL

Tools

LangGraph

LlamaIndex

MCP

Bedrock

OpenAI on Azure

Elastic Search

Marklogic

Job description

Area(s) of responsibility

Title - GEN AI Sr Lead
Location - Noida/Pune/Chennai/Bengaluru/Pune/Mumbai
Notice - Immediate - 30 days
JD
Pharma Regulatory GenAI Sr Lead

• Must have 8+ years of experience. Mostly in Data science, AI ML, GenAI and NLP technologies.
• At least 2+ years in GenAI application development
• Experts in problem solving, developing technical solutions
• Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP, Tools register, intent based routing etc.
• Expert in using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc
• Expert in RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP, NLQ to SQL etc.
• Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
• DAR for applying best solution for problem statements
• Strong understanding of Agents development
• Experience with Python programming language. Should know other languages too
• Ability to develop Python code efficiently, FastAPI
• Solid understanding of Model development, model serving, training/re‑training techniques in a data sparse environment.
• Enforce reusable component development and sharing across solutions
• Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments
• Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
• Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
• Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM.
• Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
• Experience developing Guardrails for LLMs both with open source and cloud native models.
• Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.
• Experience in RDBMS database, Data Lake, Postgresql
• Experience on Marklogic / No SQL database
• Experience on Elastic search