AI Architect Sr. Advisor

NTT America, Inc.

Hyderabad

Hybrid

INR 3,500,000 - 6,500,000

Full time

2 days ago
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Job summary

NTT DATA in Hyderabad is seeking an experienced Enterprise AI SME/Architect to drive long‑term AI adoption across application development and production support. You will collaborate with engineering teams to identify high‑value AI opportunities and recommend the right mix of Copilot, ChatGPT, Claude, and Databricks AI in diverse use cases.

You will combine architecture expertise with hands-on capability, consulting skills, and an understanding of dev ops to deliver scalable, secure AI solutions

Qualifications

  • Experience in AI architecture for enterprise scale applications.

Responsibilities

  • Partner with application and production support teams to understand their technology landscape and challenges.

Skills

Generative AI
LLMs
Prompt Engineering
RAG
AI Agents
Agentic AI
AI solution architecture
GitHub Copilot
ChatGPT/OpenAI
Claude/Anthropic
Databricks AI
Enterprise APIs
DevOps / CI/CD

Tools

GitHub Copilot
ChatGPT/OpenAI
Claude/Anthropic
Databricks AI

Job description

Req ID: 393089

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 Sr. Advisor to join our team in Hyderabad, Telangana (IN-TG), India (IN).

Enterprise AI SME / Architect

Focus: AI Enablement for Application Development & Production Support ( A hands-on AI Architect/SME with a consulting mindset who can work across multiple teams, identify practical AI opportunities, recommend the right technology, develop reusable solutions, and drive measurable AI adoption across the organization.)

Role Summary

We are looking for an experienced Enterprise AI SME / Architect to drive long-term AI adoption across application development and production support teams. The individual will work closely with engineering teams to identify high-value AI opportunities and recommend the right combination of GitHub Copilot, ChatGPT, Claude, Databricks AI, and other emerging AI technologies.

The role requires a combination of AI architecture expertise, hands-on technical capability, consulting skills, and strong understanding of application development and production support operations.

Key Responsibilities
  • Partner with application and production support teams to understand their technology landscape, operational challenges, and manual/repetitive activities.
  • Identify, prioritize, and recommend AI/GenAI use cases that improve engineering productivity, production support efficiency, reliability, and speed of delivery.
  • Recommend the appropriate AI platform/tool—GitHub Copilot, ChatGPT, Claude, Databricks AI, or other enterprise AI solutions—based on the use case.
  • Drive AI opportunities in areas such as code development, testing, documentation, incident analysis, log analysis, root-cause analysis, knowledge management, and support automation.
  • Design solutions using LLMs, RAG, AI agents, agentic workflows, enterprise search, and automation.
  • Develop POCs, reference architectures, reusable AI patterns, accelerators, and implementation guidelines.
  • Establish best practices for secure and responsible AI adoption, including data security, access controls, guardrails, and human-in-the-loop processes.
  • Coach development and production support teams on effective adoption of AI tools and establish reusable practices across teams.
  • Evaluate emerging AI technologies and continuously recommend opportunities relevant to engineering and production support.
  • Define and track measurable benefits such as productivity improvement, reduction in manual effort, faster incident resolution, improved MTTR, and engineering hours saved.
Required Skills
  • Strong expertise in Generative AI, LLMs, Prompt Engineering, RAG, AI Agents, Agentic AI, and AI solution architecture.
  • Hands-on experience with multiple AI platforms such as GitHub Copilot, ChatGPT/OpenAI, Claude/Anthropic, and Databricks AI.
  • Strong understanding of enterprise application development, APIs, microservices, cloud, DevOps, CI/CD, and software engineering practices.
  • Good understanding of production support, incident/problem management, observability, logging, monitoring, and root-cause analysis.
  • Experience designing secure, scalable, enterprise-grade AI solutions.
  • Ability to evaluate different AI technologies objectively and recommend the right solution based on business and technical needs.
  • Strong consulting, communication, stakeholder management, and technical leadership skills.
Preferred Experience
  • 12+ years of overall IT experience, with strong architecture/technical leadership experience.
  • Recent hands-on experience delivering enterprise GenAI/AI solutions.
  • Experience working across multiple application development and production support teams.
  • Experience taking AI solutions from use-case identification and POC through production implementation and adoption.
  • Cloud and enterprise architecture experience preferred.
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) .

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