AI Architect

AI Architect

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, apply now.

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 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. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Experience Level

Senior Level