Join NTT DATA as an AI Architect Sr. Advisor and drive innovation in AI enablement for application development and production support. This is a unique opportunity for a hands-on AI expert with a consulting mindset to identify practical AI opportunities, recommend cutting-edge technologies, and foster widespread AI adoption across the organization.

Leverage your expertise in AI architecture and consulting to collaborate with engineering teams, offering strategic guidance on integrating advanced AI tools like GitHub Copilot, ChatGPT, Claude, and Databricks AI. Your role will be pivotal in shaping the future of AI integration within our enterprise application development and production support environments.

Partner closely with application and production support teams to understand their unique challenges and identify AI/GenAI use cases that enhance engineering productivity and production support efficiency. Recommend optimal AI platforms and tools, including GitHub Copilot, ChatGPT, Claude, and Databricks AI, tailored to specific use cases. Drive AI adoption in critical areas such as code development, testing, incident analysis, and support automation.

Design sophisticated solutions leveraging LLMs, RAG, AI agents, and enterprise search capabilities. Develop proofs of concept (POCs), reference architectures, and reusable AI patterns to accelerate implementation. Establish robust best practices for secure and responsible AI adoption, focusing on data security, access controls, and human-in-the-loop processes. Coach teams on effective AI tool utilization and track measurable benefits, including productivity improvements and faster incident resolution.

We are seeking an experienced Enterprise AI SME/Architect with a minimum of 12 years of IT experience, including significant architecture and technical leadership. A strong foundation in Generative AI, LLMs, Prompt Engineering, RAG, AI Agents, and AI solution architecture is essential. You must possess hands-on experience with key AI platforms such as GitHub Copilot, ChatGPT/OpenAI, Claude/Anthropic, and Databricks AI.

A solid understanding of enterprise application development, APIs, microservices, cloud technologies, DevOps, CI/CD, and software engineering practices is required. Familiarity with production support operations, incident management, observability, and root-cause analysis is also crucial. Excellent consulting, communication, stakeholder management, and technical leadership skills are paramount for success in this role. Experience taking AI solutions from concept to production and a background in cloud and enterprise architecture are preferred.