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

Strong 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
Robust 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