AI Architect with Azure

Tata Consultancy Services Limited; Pune District, Chennai, Delhi; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services Limited is seeking an experienced AI Architect to design and deliver enterprise-scale AI and Generative AI solutions on Microsoft Azure. You will work across Azure OpenAI, RAG architectures, agentic AI workflows, and production deployment.

The role emphasizes strong hands-on architecture skills, security, governance, and cloud-native deployment. Location options include major Indian cities; Chennai/Delhi/Pune/Mumbai/Kochi are listed, with a focus on enterprise-scale

Qualifications

• Experience in AI/ML solution architecture and Azure cloud architecture.
• Hands-on with Azure OpenAI and Generative AI / LLM design.
• Knowledge of RBAC, data privacy, governance and responsible AI controls.

Responsibilities

• Design end-to-end enterprise AI/Generative AI architectures on Azure.
• Architect solutions using Azure OpenAI, Azure AI Search, Azure ML.
• Implement RAG, vector search and knowledge retrieval for enterprise data.

Skills

AI/ML solution architecture

Azure cloud architecture

Azure OpenAI

Generative AI / LLM architecture

RAG and Azure AI Search

Agentic AI / AI Agents

Python and FastAPI

Tools

Azure OpenAI

Azure AI Search

Azure AI Foundry

Azure Machine Learning

Docker

CI/CD

FastAPI

REST APIs

Job description

Role: AI Architect Azure / Generative AI
Experience: 1015 Years
Locations: Chennai / Delhi / Pune / Mumbai / Kochi

Role Overview

We are looking for an experienced AI Architect to design and deliver enterprise-scale AI and Generative AI solutions on Microsoft Azure. The role requires strong hands-on architecture experience across Azure OpenAI, Agentic AI, RAG, Azure AI services, Python-based integrations, security, governance, and production deployment.

Key Responsibilities

• Design end-to-end architecture for enterprise AI, Generative AI and Agentic AI solutions on Azure.
• Architect solutions using Azure OpenAI, Azure AI Search, Azure AI Foundry and Azure Machine Learning.
• Design and implement RAG architectures, vector/semantic search and enterprise knowledge retrieval.
• Design agentic and multi-agent workflows, including tool/function calling and enterprise API integration.
• Build scalable AI integration layers using Python, FastAPI and REST APIs.
• Define architecture patterns for model/LLM orchestration, prompt management, response validation and evaluation.
• Establish enterprise AI controls covering RBAC, PII protection, prompt security, content filtering, auditability and human-in-the-loop workflows.
• Architect cloud-native deployment and CI/CD approaches using Azure services, containers and DevOps practices.
• Define observability and monitoring standards for production AI workloads.
• Collaborate with business, engineering, security and governance teams to translate business requirements into scalable AI solutions.

Must-Have Skills

• Strong experience in AI/ML solution architecture and Azure cloud architecture
• Azure OpenAI
• Generative AI / LLM architecture
• RAG and Azure AI Search
• Agentic AI / AI Agents
• Python and FastAPI/API integration
• Azure AI services such as Azure AI Foundry and/or Azure Machine Learning
• Enterprise integration and cloud-native solution architecture
• AI security, governance and responsible AI controls
• Docker, CI/CD and production deployment concepts

Good to Have

• Multi-Agent Systems and tool/function calling
• MCP or similar agent-to-tool integration patterns
• Vector Search, embeddings and semantic retrieval
• MLflow and model lifecycle management
• Azure Container Apps / Azure Container Registry
• GitHub Actions / Jenkins
• OpenTelemetry / Azure Monitor / Dynatrace
• PyTorch / TensorFlow / Transformers / NLP