Sr Architect-Gen AI

Birlasoft; Bajidpur; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Birlasoft is seeking a GenAI Lead/Architect to drive next‑gen AI architectures for client solutions. The role requires deep hands‑on expertise in LangGraph, LangChain, LlamaIndex, MCP and extensive experience with RAG and Knowledge Graph RAG.

You will guide architectural decisions and ensure scalable, observable deployments across cloud platforms. With 14+ years in data science, GenAI and NLP, you will mentor teams, implement reusable AI frameworks, and lead the integration of AWS/Azure

Qualifications

• 14+ years of experience in data science, GenAI and NLP.
• Hands‑on experience with Agentic AI frameworks – LangGraph, Langchain, LlamaIndex, MCP.
• Experience selecting and using paid/OpenAI on Azure, Bedrock in AWS and open source LLMs/VLM/SLM.
• Expert design and development of solutions using RAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP.
• Experience handling large unstructured data and structured data in Data Lake.
• Proficiency in Python programming; ability to train developers and set standards.
• Experience with AWS/Azure ecosystems; Kubernetes and serverless deployments; observability.

Responsibilities

• Lead GenAI solution design for client engagements and architecture.
• Guide customers on architecture principles and best practices for GenAI deployments.
• Mentor and train developers to adopt reusable AI frameworks and components.

Skills

GenAI

NLP

Python

Agentic AI

LangGraph

LangChain

LlamaIndex

MCP

RAG

Knowledge Graph RAG

Kubernetes

Observability

Tools

LangGraph

LangChain

LlamaIndex

MCP

OpenAI on Azure

Bedrock (AWS)

Kubernetes

Data Lake

Job description

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Location: INDIA - NOIDA- BIRLASOFT OFFICE

Description:

Area(s) of responsibility

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6B: GenAI Lead/ Architect - 9/Sep/26

• Must have 14+ years of experience working in Data science, GenAI and NLP technologies.
• Experts in guiding customer, solution design using architecture principles
• Must have hands‑on experience on Agentic AI frameworks – LangGraph, Langchain, LlamaIndex, MCP etc.
• Experience in selecting and using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc.
• Expert design and develop solutions using RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP etc.
• Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
• DAR for applying best solution for problem statements
• Experience with hands‑on Python programming language in a must. Should know other languages too
• Ability to develop Python code as needed, set standards and train the Developers based on business needs.
• Enforce reusable framework, component development and sharing across solutions
• Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments. Experience in Observability