AI Architect

NTT Data; Dadri; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

NTT DATA seeks an experienced AI Architect to join our team in Noida / Gurgaon, Delhi NCR, India. The role requires deep expertise in AI/ML, LLMs, cloud platforms, and enterprise architecture to design scalable, data‑driven platforms.

You will lead architectural decisions, collaborate with product, engineering and security teams, and drive AI governance, model lifecycle management, and responsible AI practices across large-scale projects.

Qualifications

• 12+ years of experience in software engineering, enterprise architecture, platform architecture, or senior technical leadership roles.
• Strong knowledge across AI/ML, LLMs, agentic systems, cloud platforms, distributed systems, data architecture, APIs, DevOps, and security.
• Hands-on experience with Python for AI engineering and automation.
• Hands-on experience with C#, .NET and enterprise backend architecture.
• Strong SQL expertise and understanding of relational databases, data modeling, and query optimization.

Tools

AI/ML

LLMs

Python

C#, .NET

SQL

Cloud platforms

Microservices

DevOps

Job description

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,

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

AI Architect:

Required skills:

• 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 with 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.

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.

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