AI engineer

NTT DATA, Inc.; Pune District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

NTT DATA, Inc. is seeking an AI Engineer to design, develop, deploy, and optimize enterprise-grade AI solutions across Pune, Hyderabad, Noida, and other locations.

You will collaborate with AI Architects, Product Owners, Project Managers, and business stakeholders to translate requirements into scalable AI-powered applications. The ideal candidate brings deep expertise in Generative AI, LLMs, and modern software engineering practices, and will work on Copilot, Azure AI services, Power Automate,

Qualifications

• Deep expertise in Generative AI and Large Language Models (LLMs).
• Experience with Agentic AI, Microsoft Azure AI services, Copilot, and Power Automate.
• Strong software engineering practices and ability to deliver production-grade AI solutions.

Responsibilities

• Design, develop, and deploy AI-powered applications for enterprise use.
• Build generative AI, conversational AI, and agentic AI solutions.
• Develop RAG workflows and prompt engineering strategies.
• Implement AI agents and multi-agent workflows to automate processes.
• Collaborate with stakeholders to translate business requirements into scalable AI platforms.

Skills

AWS Generative AI Langgraph Langhchain

Job description

AI engineer

Locations: Pune, Hyderabad, Noida

Experience: 5 years

Job Type: Full Time

Job Location

• Pune
• Hyderabad
• Noida
• Bangalore Urban
• Gurugram
• Chennai

Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

Relocation

Allowed

Skills

• AWS
• Generative AI
• Langgraph
• Langhchain

About the job

Role Purpose

We are seeking a highly skilled AI Engineer / AI Developer to design, develop, deploy, and optimize enterprise-grade AI solutions that deliver measurable business value. This role will work closely with AI Architects, Product Owners, Project Managers, Business Stakeholders, and Engineering teams to transform business requirements into scalable AI-powered applications and intelligent automation solutions.

The ideal candidate possesses deep expertise in Generative AI, Large Language Models (LLMs), Agentic AI, Microsoft Azure AI services, Microsoft Copilot, Power Automate, and modern software engineering practices. They should be equally comfortable building AI solutions from concept to production, integrating enterprise systems, and optimizing AI models and platforms for performance, reliability, and cost efficiency.

Key Responsibilities

• AI Solution Development
  • Design, develop, and implement AI-powered applications using modern AI and machine learning technologies.
  • Build enterprise grade Generative AI, Conversational AI, Agentic AI, and intelligent automation solutions.
  • Translate business and functional requirements into scalable technical solutions.
  • Collaborate with architects and business stakeholders to deliver innovative AI capabilities.
  • Develop reusable frameworks, components, APIs, and accelerators to improve delivery efficiency.
• Generative AI & LLM Engineering
  • Build and deploy applications leveraging Large Language Models (LLMs) and Generative AI technologies.
  • Develop Retrieval Augmented Generation (RAG) solutions integrating enterprise knowledge repositories and data sources.
  • Design prompt engineering strategies and conversation orchestration frameworks.
  • Implement AI agents and multi-agent workflows to automate business processes and decision-making.
  • Evaluate and integrate foundation models based on business requirements, performance, and cost considerations.
• Microsoft Copilot & AI Assistants
  • Develop and customize Microsoft Copilot and Copilot Studio solutions.
  • Build AI-powered assistants that improve employee productivity and business process efficiency.
  • Integrate Copilot experiences with enterprise applications, Microsoft 365, and business workflows.
  • Design knowledge grounded copilots using enterprise content and varied data sources.
  • Establish best practices for Copilot adoption, security, governance, and performance optimization.
• Power Platform & Intelligent Automation
  • Design and implement business process automation solutions using Power Automate.
  • Build intelligent workflows integrating AI capabilities and enterprise applications.
  • Develop Power Apps and AI enabled business solutions when required.
  • Integrate AI services into automated workflows to improve operational efficiency.
  • Create reusable automation components and accelerators.