AI Engineer

NTT America, Inc.; Gurugram District; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

NTT DATA in Gurgaon, Haryana, India is seeking an AI Engineer—Consultant to design, develop, test, and deploy enterprise-grade AI solutions. The role focuses on Python-based AI agents, MCP server integration, and secure workflows across enterprise systems.

The consultant will collaborate with Architecture, Product, Data Engineering, and Governance teams to deliver production-ready AI capabilities and provide knowledge transfer to internal teams for long-term sustainment.

Qualifications

• Strong hands-on experience building production-grade Python applications.
• Experience with enterprise integration using C#/.NET.
• Knowledge of LLMs, agent frameworks, and tool orchestration.
• Familiarity with MCP server architecture and data governance.

Responsibilities

• Design, build, test, and deploy Python-based AI agents for enterprise workflows.
• Develop and integrate MCP servers for secure, context-aware interactions.
• Build LLM-powered apps using agent frameworks and orchestration patterns.
• Develop RAG pipelines with embeddings, vector DBs, and semantic search.
• Create APIs using FastAPI, REST, or GraphQL; ensure secure access and logging.
• Produce documentation covering architecture, data flows, and MCP interfaces.
• Transfer knowledge to internal teams for long-term maintainability.

Skills

Python

C# /.NET

SQL

LLM agents

LangChain

RAG pipelines

REST / GraphQL

CI/CD

Education

Bachelor’s or Master’s in CS/SE/AI

Tools

LangChain

OpenAI / Anthropic / Azure OpenAI

FAISS / Weaviate

MCP Server

FastAPI

Job description

We are currently seeking a AI Engineer to join our team in Gurgaon, Haryāna (IN-HR), India (IN).

AI Engineer — Consultant

Role Overview

The AI Engineer Consultant will design, develop, test, deploy, and support enterprise grade AI solutions for S&P Global. This role will focus on Python based AI agent development, Model Context Protocol server integration, Retrieval Augmented Generation, LLM enabled applications, and secure AI workflow automation.

The consultant will work closely with S&P Global’s Enterprise Architecture, Product, Data Engineering, Application Engineering, and Governance teams to deliver production ready AI capabilities that can be integrated into enterprise platforms and business workflows.

This is a hands‑on delivery role requiring strong engineering skills, rapid onboarding, independent execution, and the ability to produce maintainable, well documented solutions.

Engagement Expectations

The consultant is expected to quickly understand S&P Global’s technology environment, delivery processes, architecture standards, data governance requirements, and business context.

The consultant will be responsible for delivering defined project outcomes, producing high quality code and technical documentation, supporting implementation activities, and providing knowledge transfer to internal S&P Global teams to ensure long term maintainability.

Key Responsibilities

• Design, build, test, and deploy Python based AI agents capable of executing complex, multi-step workflows across enterprise systems.
• Develop and integrate MCP servers to enable secure, standardized, and context aware interactions between AI agents, enterprise APIs, databases, internal tools, and knowledge repositories.
• Build LLM powered applications using agentic frameworks, tool use orchestration, prompt engineering, and workflow automation patterns.
• Develop custom Retrieval Augmented Generation using embeddings, vector databases, metadata filtering, document chunking, and semantic search.
• Integrate AI services with enterprise applications using Python, C#, .NET, REST APIs, GraphQL, and SQL based data sources.
• Implement secure tool calling patterns, role-based access controls, audit logging, human in the loop approvals, and traceability mechanisms.
• Build reusable AI components, agent tools, prompt templates, evaluation scripts, and orchestration workflows.
• Collaborate with AI Architects and Data Modelers to ensure AI solutions use accurate, governed, and explainable data.
• Support deployment, monitoring, troubleshooting, and performance tuning of AI applications in cloud or enterprise environments.
• Create clear technical documentation covering architecture, prompts, data flows, APIs, MCP interfaces, dependencies, and operational procedures.
• Conduct knowledge transfer sessions with S&P Global internal engineering teams.

Required Qualifications

• Bachelor’s or master’s degree in computer science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Strong hands‑on experience developing production grade applications using Python.
• Working knowledge of C# and .NET for enterprise application integration.
• Strong SQL skills for querying, validating, and integrating structured enterprise data.
• Experience building AI agents, LLM applications, prompt workflows, and tool calling systems.
• Practical understanding of MCP server architecture and enterprise system integration patterns.
• Experience with LLMs such as OpenAI, Anthropic Claude, AWS Bedrock models, Azure OpenAI, Google Gemini, or similar platforms.
• Hands on experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI , or similar agentic AI frameworks.
• Experience with RAG pipelines, vector databases, embeddings, semantic search, and document processing.
• Experience developing APIs using FastAPI, Flask, .NET Web API, or similar frameworks.
• Understanding of authentication, authorization, secrets management, logging, observability, and secure coding practices.

Preferred Qualifications

• Experience in financial services, market intelligence, ratings or regulated enterprise environments.
• Experience with AWS, Azure, or Google Cloud.
• Familiarity with vector databases such as OpenSearch, FAISS, Pinecone, Weaviate, Milvus, or pgvector.
• Experience with AI evaluation, hallucination detection, prompt regression testing, and LLM observability.

Python, C#, .NET core, SQL, AI Agents, MCP Server, LLMs, RAG, LangChain, LlamaIndex, Semantic Kernel, FastAPI, , REST APIs, Vector Databases, Prompt Engineering, Cloud, CI/CD, AI Governance, Enterprise Integration.

Expected Deliverables

• Production ready Python based AI agents.
• MCP server integrations.
• RAG pipelines and retrieval workflows.
• API integrations with enterprise systems.
• Prompt templates, agent tools, and evaluation scripts.
• Technical documentation and deployment guides.
• Knowledge transfer sessions for S&P Global teams.

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 endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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. For our EEO Policy Statement, please click here (http://us.nttdata.com/en/compliance#eeos). If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights). For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp).