Architect-Gen +Azure

Birlasoft; Pune District; Hybrid; INR 4,000,000 - 8,000,000; Full time

Job summary

Birlasoft invites an experienced GenAI-Agentic AI Architect (Azure) to join our AI practice in India. You will design and deliver scalable, secure GenAI solutions acrossAzure AI Foundry, Azure OpenAI, and agentic frameworks, aligning with enterprise needs.

The role demands deep hands-on expertise, 15+ years of experience, and a proven ability to lead end-to-end deployments, define reference architectures, and drive adoption of multi-agent patterns across large organizations.

Qualifications

• 15+ years of relevant experience in GenAI and AI architecture.
• Hands-on Azure AI/ML experience and cloud-native engineering.
• Proven track record delivering scalable, production-grade GenAI systems.
• Lead complex implementations and drive enterprise adoption of multi-agent patterns.

Responsibilities

• Define reference architectures for GenAI solutions on Azure.
• Build end-to-end GenAI platforms leveraging Azure services.
• Lead complex, multi-team implementations.
• Drive enterprise adoption and governance of GenAI patterns.

Skills

GenAI architecture

Azure AI/ML ecosystem

Multi-agent frameworks

LLM orchestration

Cloud-native engineering

Tools

Azure OpenAI

Azure AI Foundry

Azure Agents

Microsoft Agent Framework

LangGraph/CrewAI

Vector databases

Python

Job description

Area(s) of responsibility
Job Title: GENAI-Agentic AI Architect (Azure)
Experience: 15+ years
Location: Hyderabad, Pune
We are looking for a highly skilled GenAI and Agentic AI Architect with deep hands-on expertise across Microsoft Azure’s AI/ML ecosystem, multi-agent frameworks, LLM orchestration, and cloud-native engineering. This role focuses on architecting and delivering scalable, secure, production-grade GenAI systems leveraging Azure AI Foundry, Azure OpenAI, Azure Agents, Microsoft Agent Framework, Langgraph/CrewAI, vector databases, and Python-based agentic AI solutions. You will define reference architectures, build end-to-end solutions, lead complex implementations, and drive enterprise adoption of advanced GenAI and multi-agent patterns.