AI Architect Sr. Advisor
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. NTT DATA scores A on the Alion truth index.
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, apply now.
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 recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.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.
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