GENAI-Agentic AI Architect+Azure

Mployee.me; Dadri; Remote; INR 3,000,000 - 5,500,000; Full time

Job summary

Mployee.me is seeking an experienced GenAI Architect to lead Azure-based GenAI and Agentic AI initiatives. You will design end-to-end architectures, establish secure, scalable patterns, and guide multi-agent orchestration across enterprise deployments.

The role emphasizes hands-on engineering with Azure OpenAI, LangGraph, and CrewAI, plus Python-based microservices and production-grade deployment practices. Location-based teams are distributed in major Indian cities.

Qualifications

• 15+ years of technology experience with Azure architecture and engineering.
• Strong experience with GenAI, Agentic AI, Azure OpenAI, Azure AI Foundry, Azure Agent Service, Azure Machine Learning, LangGraph, and CrewAI.
• Experience with 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.

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.

Skills

Azure architecture

GenAI

Agentic AI

Azure OpenAI

Python

FastAPI

Django

LLMOps

RAG

Security

Azure ML

LangGraph

CrewAI

Multi-agent orchestration

Tool invocation

Tools

Azure OpenAI

Azure AI Foundry

Azure Agent Service

Microsoft Agent Framework

Azure Machine Learning

LangGraph

CrewAI

Azure DevOps

GitHub Actions

AKS

Azure Functions

Azure Monitor

Application Insights

Job description

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.