Lead AI Engineer – Developer Productivity & Copilot Enablement

NTT DATA is a global innovator and trusted provider of business and technology services, and they are seeking a Lead AI Engineer to advance developer productivity through Copilot-first workflows and Generative AI solutioning. This role focuses on enabling modern, AI-augmented engineering practices at scale and involves acting as a technical leader for GitHub Copilot and related platforms.

Responsibilities:

• Drive adoption and advanced usage of GitHub Enterprise and GitHub Copilot, including Copilot Chat and agent-based workflows
• Identify high-impact AI use cases across the SDLC (coding, testing, refactoring, documentation, CI/CD)
• Establish best practices, reusable patterns, and guardrails for AI-assisted development
• Design and implement agentic AI solutions to automate and orchestrate developer workflows
• Build and evaluate autonomous or semi-autonomous agents for code generation, validation, remediation, and workflow automation
• Prototype and productionize emerging AI capabilities with clear, measurable DX value
• Build and extend copilots using Microsoft Copilot Studio for engineering and operational use cases
• Leverage Power Platform (Power Automate, Power Apps) to integrate AI capabilities into existing tools and workflows
• Enable low-code and pro-code collaboration through reusable components and templates
• Assess existing developer tooling and AI capabilities to identify gaps, redundancies, and improvement opportunities
• Define scalable architectures and reusable frameworks for AI-powered development
• Partner with security, platform, and architecture teams to ensure compliant and responsible AI adoption
• Serve as a subject-matter expert for Copilot platforms and Generative AI development tools
• Mentor engineers through guidance, demos, and hands-on enablement
• Contribute to roadmaps for AI-driven Developer Experience initiatives

Requirements:

• 5+ years of hands‐on software engineering experience (Python, Java, C#, or similar)
• Practical experience building Generative AI solutions in production environments
• Experience using GitHub Copilot and AI‐assisted development workflows
• Strong understanding of LLMs, prompt engineering, embeddings, and RAG patterns
• Proven ability to evaluate, pilot, and operationalize emerging technologies
• Experience with autonomous or agentic AI programming
• Hands‐on experience with Microsoft Copilot Studio and Power Platform
• Background in Developer Experience (DX), platform engineering, or productivity tooling
• Experience working in large‐scale or regulated enterprise environments