Join NTT DATA as an AI Engineer Consultant in Gurgaon, India, and contribute to developing cutting-edge enterprise-grade AI solutions for S&P Global. This role focuses on Python-based AI agent development, LLM integrations, and secure AI workflow automation.

You will collaborate closely with S&P Global's teams to deliver robust AI capabilities integrated into enterprise platforms and business workflows. This is a hands-on position demanding strong engineering acumen, self-sufficiency, and the ability to produce well-documented, maintainable code.

Design, build, test, and deploy Python AI agents for complex workflows. Develop and integrate MCP servers for secure AI-enterprise system interactions.

Create LLM-powered applications using agentic frameworks and prompt engineering. Build custom Retrieval Augmented Generation (RAG) pipelines with vector databases. Integrate AI services using Python, C#, .NET, REST APIs, and SQL.

Implement secure AI patterns, including access controls and audit logging. Develop reusable AI components and prompt templates. Collaborate with AI Architects on data governance and explainability. Support deployment, monitoring, and performance tuning. Create comprehensive technical documentation and conduct knowledge transfer sessions.

A Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Data Science, or a related field is required. Significant hands-on experience developing production-grade Python applications is essential.

Proficiency in C# and .NET for enterprise integration, along with strong SQL skills for data management, is necessary. Experience building AI agents, LLM applications, and RAG pipelines is expected.

Familiarity with MCP server architecture, enterprise system integration patterns, and LLM platforms like OpenAI, Claude, or Gemini is crucial. Experience with AI agentic frameworks such as LangChain or LlamaIndex, and API development using FastAPI or Flask, is also required. A solid understanding of secure coding practices, authentication, and observability is vital.