AI Architect

NTT DATA BUSINESS SOLUTIONS; Dadri, Gurugram District; Hybrid; INR 4,500,000 - 6,500,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS seeks an experienced AI Architect to lead enterprise AI initiatives in Noida or Gurgaon, India. The role requires deep expertise across AI/ML, LLMs, agentic systems, and cloud-native architectures, with strong Python and C#/.NET skills and a track record of designing data-intensive platforms.

The candidate will architect LLM-based applications, AI agents, RAG workflows, and scalable backend systems, coordinating across teams to deliver enterprise-grade AI solutions.

Qualifications

• 12+ years of experience in software engineering or senior technical leadership.
• Expertise across AI/ML, LLMs, agentic systems, cloud platforms and data architecture.
• Hands-on Python for AI engineering, automation, and AI service development.
• Hands-on C#, .NET and enterprise backend architecture.

Skills

AI/ML

LLMs

Agentic systems

Python

C#/.NET

SQL

Distributed systems

Cloud architecture

Microservices

CI/CD

IaC

Observability

Security

MCP Server architecture

OpenAI/LangChain-like frameworks

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Google ADK

AWS/Azure/GC

Job description

Job Summary

We are currently seeking an AI Architect to join our team in Noida / Gurgaon, Delhi (IN-DL), India (IN).

Requirements

• 12+ years of experience in software engineering, enterprise architecture, solution architecture, platform architecture, or senior technical leadership roles.
• Strong cumulative technical knowledge across AI/ML, LLMs, agentic systems, software engineering, cloud platforms, distributed systems, data architecture, APIs, DevOps, and security.
• Strong hands-on understanding of Python for AI engineering, automation, orchestration, and AI service development.
• Strong hands-on understanding of C#, .NET and enterprise backend application architecture.
• Strong SQL expertise and understanding of relational databases, data modeling, query optimization, and enterprise data access patterns.
• Proven experience designing enterprise-scale platforms or applications in complex, data-intensive environments.
• Experience architecting LLM-based applications, AI agents, RAG systems, workflow automation, and intelligent decision-support solutions.
• Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Google ADK, or similar frameworks.
• Strong understanding of MCP server architecture and how AI systems integrate with enterprise APIs, tools, repositories, and data platforms.
• Experience with cloud-native architecture on AWS, Azure, or Google Cloud.
• Strong knowledge of microservices, APIs, event-driven architecture, containers, CI/CD, infrastructure-as-code, observability, and production operations.

Preferred Skills

• Experience in financial services, capital markets, ratings, risk analytics, commodities, fintech, or regulated enterprise environments.
• Experience with AWS services such as EC2, ECS, Lambda, RDS, API Gateway, SageMaker, Bedrock, CloudFormation, CDK, or comparable cloud services.
• Experience with vector databases such as OpenSearch, FAISS, Pinecone, or pgvector.
• Experience with AI governance, model lifecycle management, responsible AI, model risk controls, data privacy, and auditability.
• Experience supporting SaaS modernization, platform transformation, operating model transformation, or enterprise architecture governance.
• Agentic solution- who can build solution at architect level; LLM AI agents; RAG app; Python; AWS Cloud; C#, .Net; Advanced SQL; Low level design-high level design; MCP Server architecture; Good to have - Capital Market experience.

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.