Req ID: 394970 

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, apply now.

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

Job Description – AI Engineer

Position Details

Role: AI Engineer – Agentic AI

Grade: Grade 10/11

Experience Required: 7–10 years overall, with at least 3 years of relevant AI / GenAI experience

Role Overview

We are looking for a hands-on AI Engineer to design, build and deploy AI agents and Generative AI solutions for enterprise applications. The candidate will build agents that plan tasks, call tools and APIs, and complete multi-step workflows, along with the prompts, retrieval (RAG) pipelines and integrations behind them. The role also requires daily use of AI coding assistants to speed up delivery.

The ideal candidate should be able to work with data scientists, software engineers, product owners and business stakeholders to take AI solutions from idea to production.

Key Responsibilities

• Design, develop and deploy AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI or AutoGen.
• Connect agents to enterprise systems and data through REST APIs, SDKs, tool / function calling and MCP servers.
• Write, test and refine prompts so that LLMs give accurate, consistent and safe responses.
• Build RAG pipelines covering document ingestion, embeddings, vector databases and retrieval tuning.
• Use AI coding assistants (Claude Code, GitHub Copilot, Cursor or similar) for development, testing, code reviews and documentation.
• Package and deploy AI services using Docker, Kubernetes and CI/CD pipelines on Azure, AWS or GCP.
• Build user interfaces for human-AI interaction, including human review and approval steps.
• Set up evaluation and monitoring for accuracy, hallucinations, latency and cost, and act on the results.
• Ensure solutions meet security, privacy and responsible AI guidelines, including bias mitigation and prompt-injection safeguards.
• Lead AI projects end to end, ensuring timely delivery and quality.
• Mentor junior engineers, review code and share best practices with the team.
• Present AI opportunities and project updates to senior management and stakeholders.