GENAI-Agentic AI Architect Azure

Birlasoft; Dadri; Vor Ort; INR 4.000.000 - 7.000.000; Vollzeit

Zusammenfassung

Birlasoft is seeking an experienced GenAI and Agentic AI Architect. The role focuses on architecting secure, scalable GenAI solutions on Microsoft Azure, leading complex implementations and enterprise adoption of GenAI capabilities.

The candidate will design end-to-end GenAI architectures, multi-agent systems, RAG solutions and LLMOps, while mentoring technical teams and defining robust guardrails and cost optimization strategies.

Qualifikationen

• 15+ years of technology experience with Azure
• Strong experience with GenAI, Agentic AI and Azure services
• Expertise in RAG, embeddings and vector databases
• Strong Python experience with FastAPI or Django
• Experience with Azure AI Search, Cosmos DB, AKS, Functions, API Management, Event Grid and Service Bus
• Knowledge of Azure security, distributed systems, scalability, performance and cost optimization

Aufgaben

• Architect end-to-end GenAI and Agentic AI solutions on Azure
• Design multi-agent systems with planning, memory, tool invocation and orchestration
• Architect enterprise RAG solutions using Azure AI Search and vector databases
• Define prompt pipelines, embedding workflows and context enrichment
• Build Python microservices using FastAPI or Django and integrate with Azure AI
• Define LLMOps and deployment practices with Azure ML, DevOps, GitHub Actions and AKS
• Set architecture standards for security, reliability, and performance
• Lead architecture reviews, threat modeling and production readiness
• Develop reusable patterns for multi-agent orchestration and cloud-native GenAI
• Mentor technical teams across GenAI programs

Kenntnisse

Azure architecture

GenAI

Agentic AI

Azure OpenAI

LLM orchestration

Python

FastAPI

Django

Cosmos DB

AKS

RAG

Security

Cost optimization

Azure ML

Azure DevOps

LangGraph

CrewAI

Tools

PostgreSQL pgvector

Redis

Jobbeschreibung

Job Description:

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.

Requirements: