Area(s) of responsibility

Key Job Responsibilities

- Architecture &
- Design

- Define end-to-end AI/GenAI architecture for enterprise applications

- Design scalable solutions using LLMs, RAG pipelines, vector databases, and agentic workflows

- Azure AI Platform

- Architect solutions using Azure OpenAI, Azure ML, Databricks, AI Search

- Design cloud-native architectures (scalability, HA/DR, cost optimization)

- Development &

- Engineering

- Lead hands-on Python development for AI/ML and GenAI applications

- Build APIs, microservices, and reusable AI components

- GenAI Implementation

- Implement:

- RAG (retrieval-augmented generation) pipelines

- Vector search and embeddings

- Multi-agent and tool-calling frameworks

- Develop AI copilots, chatbots, and automation systems

- Governance &

- Security

- Ensure Responsible AI, compliance, and data governance (PII, lineage, security)

- Implement guardrails: prompt security, content filters

- Leadership &

- Collaboration

- Provide architecture guidance and mentor engineering teams

- Work with business stakeholders to translate requirements into solutions

Mandatory Skills





- AI/ML &
- GenAI

- LLMs (GPT or open-source), RAG, embeddings, vector databases

- Experience building enterprise GenAI solutions

- LangChain, LangGraph

- Agentic AI

- Programming

- Solid expertise in Python (mandatory)

- Experience with APIs, microservices

- Azure Cloud

- Hands-on with:

- Azure OpenAI / AI Studio

- Azure ML, Databricks, Synapse

- Storage (Blob, Cosmos DB), AI Search

- Architecture

- Experience designing scalable, distributed systems

- Strong knowledge of cloud-native architecture patterns

- Experience

- 10+ years in IT

- 5+ years in AI/ML

- 2+ years in Generative AI / LLM-based systems

Preferred Skills

- Experience with:

- LlamaIndex, Autogen, CrewAI

- Multi-agent systems

- Exposure to:

- Vector DBs

- Data platforms

- Cloud &

- Platform:

- Multi-cloud (AWS/GCP)

- Kubernetes, containers

- Governance:

- Data governance tools (Purview, cataloging, lineage)

- Certifications:

- Azure Solutions Architect / Azure AI Engineer

📌 Sr Lead Architect (Pune)
🏢 Birlasoft
📍 Pune