Architect-Gen Azure

Birlasoft; Dadri; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Birlasoft is seeking a GENAI-Agentic AI Architect (Azure) in India with 15+ years of experience to design and deliver scalable GenAI solutions on the Azure ecosystem. You will lead multi-agent architectures, orchestrate LLM workflows, and drive enterprise adoption of advanced GenAI patterns.

The role requires deep cloud-native engineering expertise and hands-on implementation across Azure AI Foundry, Azure OpenAI, and related frameworks, with responsibility for reference architectures and secure

Qualifications

• 15+ years of experience in GenAI, AI architecture, and cloud-native engineering.
• Deep hands-on expertise with Microsoft Azure’s AI/ML ecosystem.
• Experience with multi-agent frameworks and LLM orchestration.
• Ability to define reference architectures and deliver production-grade GenAI systems.

Responsibilities

• Architect scalable GenAI solutions on the Azure platform.
• Lead complex implementations and drive enterprise adoption of GenAI patterns.
• Collaborate with cross-functional teams to define end-to-end reference architectures and roadmaps.
• Ensure security, reliability, and production readiness of GenAI systems.

Skills

GenAI

Azure AI

LLM orchestration

Multi-agent frameworks

Cloud-native engineering

Tools

Azure OpenAI

Azure Foundry

Azure Agents

Langgraph/CrewAI

Vector databases

Job description

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.

Requirements: