Gen AI/Agentic AI Architect/ Agentic AI Lead

Tata Consultancy Services Limited

Bengaluru

On-site

INR 3,500,000 - 6,000,000

Full time

11 days ago

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Job summary

TATA Consultancy Services is hiring for a Gen AI/Agentic AI Architect/Lead in Bengaluru. You will identify, architect, and implement high‑value AI and automation use cases, building solutions using LLMs, RAG, AI agents, prompt engineering, and workflow automation.

You will drive automation across service desk, incident management, knowledge management, SAP operations, and IT support processes, integrating AI with SAP, ServiceNow, Microsoft, and other enterprise applications to deliver measurable

Qualifications

  • 6–15 years of experience in AI architecture and product development.
  • Experience designing and deploying Gen AI/Agentic AI solutions.
  • Strong governance, standards, and ROI tracking.

Responsibilities

  • Identify, architect, and implement high‑value AI and automation use cases.
  • Build solutions using LLMs, RAG, AI agents, prompt engineering, and workflow automation.
  • Drive automation across service desk, incident management, knowledge management, SAP operations, and IT support processes.
  • Integrate AI capabilities with SAP, ServiceNow, Microsoft, and enterprise applications.

Skills

AI architecture
LLMs & RAG
Automation
Governance & standards
ROI tracking

Tools

SAP
ServiceNow
Microsoft Suite

Job description

Greetings from TATA Consultancy Services!!

Thank you for expressing your interest in exploring a career possibility with the TCS Family.

We are Hiring For:Gen AI/Agentic AI Architect/ Lead

Experience: 6 to 15 years

Key Skills:

  • Identify, architect, and implement high-value AI and automation use cases.
  • Build solutions using LLMs, RAG, AI Agents, Prompt Engineering, and Workflow Automation.
  • Drive automation across service desk, incident management, knowledge management, SAP operations, and IT support processes.
  • Integrate AI capabilities with SAP, ServiceNow, Microsoft, and enterprise applications.
  • Define AI standards, governance, reusable frameworks, and accelerators.
  • Track outcomes including ROI, productivity gains, cost reduction, ticket deflection, and service improvements.
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