GENAI-Agentic AI Architect+Azure

Birlasoft; India; Remote; INR 6,000,000 - 12,000,000; Full time

Job summary

Birlasoft is seeking an experienced GenAI and Agentic AI Architect with hands-on expertise in Microsoft Azure AI services, multi-agent frameworks, LLM orchestration, and Python. You will architect secure, scalable production-grade GenAI solutions and define reference architectures to drive enterprise adoption.

Lead complex implementations, mentor technical teams, and establish deployment practices using Azure Machine Learning, AKS, and related tools to ensure production readiness and cost

Qualifications

• 15+ years of technology experience with Azure architecture and engineering.
• Strong hands-on GenAI, Agentic AI, and Azure OpenAI experience.
• Expertise in RAG, embeddings, vector databases, and multi-agent orchestration.
• Strong Python experience using FastAPI or Django.
• Experience with Azure AI Search, Cosmos DB, AKS, Functions, API Management, Event Grid and Service Bus.
• Security, scalability, performance, and cost optimization knowledge.
• Azure Solutions Architect certification preferred.

Responsibilities

• Architect end-to-end GenAI and Agentic AI solutions on Azure.
• Design multi-agent systems covering planning, memory, tool invocation, and orchestration.
• Architect enterprise RAG solutions using Azure AI Search and vector databases.
• Design prompt pipelines, embeddings, retrieval strategies, and context enrichment.
• Build Python microservices using FastAPI or Django and integrate with Azure AI.
• Define LLMOps and deployment practices with Azure ML, DevOps, AKS, and monitoring.
• Set architecture standards for security, reliability, scalability, observability, and cost.
• Lead architecture reviews, threat modelling, and production readiness.
• Develop reusable patterns for multi-agent orchestration and enterprise integration.
• Mentor technical teams and provide architecture guidance across GenAI programs.

Skills

Azure architecture

GenAI / Agentic AI

Python (FastAPI / Django)

LLMOps / model evaluation

Azure AI services (OpenAI, Foundry, AI

Azure AI Search / Cosmos DB / AKS

Security & performance optimization

Tools

LangGraph

CrewAI

Azure Agent Service

Azure Machine Learning

Job description

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Location: INDIA - NOIDA- BIRLASOFT OFFICE

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Area(s) of responsibility

Job Title

GENAI Agentic AI Architect Azure

Experience

15 Plus Years

Location

Hyderabad, Pune, Chennai, Bengaluru, Mumbai, Noida

Job Description

We are looking for an experienced GenAI and Agentic AI Architect with strong hands on expertise in Microsoft Azure AI services, multi agent frameworks, LLM orchestration, RAG, Python, and cloud native engineering.

The role will focus on architecting secure, scalable, production grade GenAI solutions, defining reference architectures, leading complex implementations, and driving enterprise adoption of GenAI and Agentic AI capabilities.

Key Responsibilities

• Architect end to end GenAI and Agentic AI solutions using Azure OpenAI, Azure AI Foundry, Azure Agent Service, Microsoft Agent Framework, Azure Machine Learning, LangGraph, and CrewAI.
• Design multi agent systems covering planning, reasoning, memory, state management, tool invocation, human review, and complex workflow orchestration.
• Architect enterprise RAG solutions using Azure AI Search, vector search, Cosmos DB, PostgreSQL pgvector, and Redis.
• Design prompt pipelines, embedding workflows, retrieval strategies, context enrichment, tool integrations, model evaluation, and AI guardrails.
• Build Python based microservices using FastAPI or Django and integrate them with Azure AI and enterprise applications.
• Define LLMOps and deployment practices using Azure Machine Learning, Azure DevOps, GitHub Actions, AKS, Azure Functions, Azure Monitor, Application Insights, and Log Analytics.
• Define architecture standards for security, reliability, scalability, observability, performance, content safety, and cost optimization.
• Lead architecture reviews, threat modeling, performance benchmarking, technical prototypes, and production readiness.
• Develop reusable architecture patterns and accelerators for multi agent orchestration, RAG, enterprise integration, and cloud native GenAI solutions.
• Mentor technical teams and provide architecture guidance across complex GenAI programs.

Required Skills

• 15 plus years of technology experience with strong Azure architecture and engineering expertise.
• Strong experience with GenAI, Agentic AI, Azure OpenAI, Azure AI Foundry, Azure Agent Service, Azure Machine Learning, LangGraph, and CrewAI.
• Expertise in RAG, embeddings, vector databases, multi agent orchestration, LLMOps, and model evaluation.
• Strong Python experience using FastAPI or Django.
• Experience with Azure AI Search, Cosmos DB, AKS, Functions, API Management, Event Grid, and Service Bus.
• Strong knowledge of Azure security, distributed systems, scalability, performance, and cost optimization.
• Azure Solutions Architect certification preferred.