Senior AI and Agentic Engineer

NTT DATA Global Delivery Services Ltd; Dadri; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

NTT DATA is seeking a Sr AI / Agentic Engineer to join our team in Noida / Gurgaon, Uttar Pradesh, India. The role focuses on designing and implementing AI agents for business workflows, integrating MCP protocols, and building semantic search solutions for enterprise use.

We require 5–10 years of senior experience in AI engineering, with strong Python skills, Generative AI expertise, LLM integration, and knowledge of LangChain/LangGraph and vector databases.

Qualifications

• 5–10 years of AI/Agentic engineering experience.
• Proficiency in Python and Generative AI.
• Experience with LLM integration and MCP protocol.
• Knowledge of LangChain/LangGraph and vector databases.
• Familiarity with prompt engineering and multi-agent systems.

Responsibilities

• Agentic AI development for business workflows.
• MCP server integrations and API/semantic service connections.
• Semantic search, RAG, and enterprise ontology grounding.
• Workflow automation and actionable AI recommendations.

Skills

Python

Generative AI

LLM Integration

MCP Protocol

LangChain/LangGraph

Vector Databases

Prompt Engineering

Multi-Agent Systems

Knowledge Graph Integration

AWS Bedrock

Tools

LangChain

LangGraph

Vector Databases

Job description

Sr AI / Agentic Engineer

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Sr AI / Agentic Engineer to join our team in Noida / Gurgaon, Uttar Pradesh (IN-UP), India (IN).

Senior AI / Agentic AI Engineer Experience: 5–10 Years Number of Positions - 1

Key Responsibilities

Agentic AI Development

• Design and implement AI agents for business workflows.
• Develop autonomous task execution capabilities.

MCP Server Integration

• Build and maintain Model Context Protocol integrations.
• Connect enterprise APIs and semantic services.

Semantic Search & AI

• Develop RAG and semantic retrieval solutions.
• Ground LLM responses using enterprise ontology.

Workflow Automation

• Enable AI-assisted operational workflows.
• Build actionable AI recommendations and insights.

Required Skills

• Python
• Generative AI
• LLM Integration
• MCP Protocol
• LangChain/LangGraph
• Vector Databases
• Prompt Engineering

Preferred Skills

• Knowledge Graph Integration
• AWS Bedrock
• Multi-Agent Systems

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Experience Level Senior Level