Agentic AI Architect | GenAI | Multi-Agent Systems | RAG | Azure OpenA

Tata Consultancy Services; Hyderabad; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services is seeking a Senior AI Architect to design and lead enterprise AI programs. You will architect agentic and multi-agent systems, integrate with ERP/CRM/ITSM, and implement scalable cloud-native AI solutions across major cloud platforms.

You will mentor engineering teams, govern AI initiatives, and collaborate with business stakeholders to drive AI transformation in a large enterprise environment.

Qualifications

• 10–12 years of experience in AI/ML Architecture or Solution Architecture.
• Hands-on experience in Agentic AI, Multi-Agent Systems, and Generative AI.
• Strong expertise in LLMs, RAG, Vector Databases, and Knowledge Graphs.
• Experience with Azure OpenAI, LangGraph, Semantic Kernel, OpenAI Agents SDK, or Azure AI Foundry.
• Proficiency in Python and cloud platforms (Azure/AWS/GCP), Kubernetes and Docker.

Responsibilities

• Design and implement Agentic AI and Multi-Agent Systems for enterprise use cases.
• Architect LLM, Generative AI, and RAG solutions using Azure OpenAI, OpenAI, Claude, Gemini, and open-source models.
• Integrate AI agents with ERP, CRM, ITSM, APIs, and enterprise platforms.
• Develop autonomous workflows with orchestration frameworks like LangGraph, Semantic Kernel, and Azure AI Foundry.
• Establish AI governance, security, compliance, monitoring, and human-in-the-loop controls.
• Design scalable cloud-native AI architectures on Azure/AWS/GCP.
• Collaborate with business and tech stakeholders to drive AI transformation initiatives.
• Mentor engineering teams and provide technical leadership for enterprise AI programs.

Skills

AI/ML Architecture

Solution Architecture

Agentic AI

Multi-Agent Systems

Generative AI

LLMs & RAG

Python

Cloud Platforms

Kubernetes

Docker

ERP/CRM/ITSM integrations

Tools

Azure OpenAI

LangGraph

Semantic Kernel

OpenAI Agents SDK

Azure AI Foundry

Kubernetes

Docker

Job description

Role & responsibilities

• Design and implement Agentic AI and Multi-Agent Systems for enterprise use cases.
• Architect LLM, Generative AI, and RAG solutions using Azure OpenAI, OpenAI, Claude, Gemini, and open-source models.
• Integrate AI agents with ERP, CRM, ITSM, APIs, and enterprise platforms.
• Develop autonomous workflows with orchestration frameworks such as LangGraph, Semantic Kernel, and Azure AI Foundry.
• Establish AI governance, security, compliance, monitoring, and human-in-the-loop controls.
• Design scalable cloud-native AI architectures on Azure/AWS/GCP.
• Collaborate with business and technology stakeholders to drive AI transformation initiatives.
• Mentor engineering teams and provide technical leadership for enterprise AI programs.

Preferred candidate profile

• 10 -12 years of experience in AI/ML Architecture or Solution Architecture
• Hands-on experience in Agentic AI, Multi-Agent Systems, and Generative AI
• Strong expertise in LLMs, RAG, Vector Databases, and Knowledge Graphs
• Experience with Azure OpenAI, LangGraph, Semantic Kernel, OpenAI Agents SDK, or Azure AI Foundry
• Proficiency in Python, Cloud Platforms (Azure/AWS/GCP), Kubernetes, and Docker
• Experience integrating AI solutions with ERP, CRM, ITSM, APIs, and Enterprise Systems
• Strong stakeholder management and enterprise architecture experience.