Req ID:366565
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 Lead AI Engineer to join our team in Parsippany, New Jersey (US-NJ), United States (US).
We are seeking a Lead AI Engineer to drive developer productivity through Copilot‑first workflows, Generative AI solutioning, and autonomous agent programming. This role is critical to advancing our Developer Experience (DX) strategy by enabling modern, AI‑augmented development practices across engineering teams.
You will serve as a hands‑on technical leader and evangelist for GitHub Copilot, Microsoft Copilot Studio, and other generative AI products such as Microsoft Power Platform, while researching, evaluating, and operationalizing emerging AI capabilities that measurably improve how software is built and delivered.
Success is defined by adoption, efficiency gains, and scalable enablement, not experimentation alone. 5+ years of experience required on the following:
Key Responsibilities
GitHub Copilot & Developer Productivity Evangelism
Drive adoption and advanced usage of GitHub Enterprise and GitHub Copilot, including Copilot Chat and autonomous agent‑based workflows.
• Identify high‑impact use cases across the SDLC (coding, testing, refactoring, documentation, CI/CD).
• Establish best practices, patterns, and guardrails for AI‑assisted development.
Generative AI & Autonomous Agent Programming
• Design and implement agentic AI solutions that automate and orchestrate developer workflows.
Build and evaluate autonomous and semi‑autonomous agents for tasks such as code generation, validation, remediation, and
workflow automation.
• Prototype and productionize emerging AI technologies with clear DX value.
Copilot Studio & Power Platform Enablement
• Build and extend copilots using Microsoft Copilot Studio to support engineering and operational use cases.
• Leverage Power Platform (Power Automate, Power Apps) to integrate AI capabilities into existing tools and workflows.
• Enable low‑code / pro‑code collaboration through reusable components and templates.
Platform Strategy & Gap Identification
• Assess existing developer tooling and AI capabilities to identify gaps, redundancies, and opportunities.
• Define scalable architectures and reusable frameworks for AI development.
• Partner with security, platform, and architecture teams to ensure compliant and responsible AI usage.
Technical Leadership
• Act as a subject matter expert for Copilot platforms and Generative AI development tools.
• Mentor engineers and influence teams through guidance, demos, and hands‑on enablement.
• Contribute to roadmap planning for AI‑driven DX initiatives.
Required Qualifications
• Strong software engineering background with hands‑on experience (Python, Java, C#, or similar).
• Practical experience building Generative AI solutions in production environments.
• Experience with GitHub Copilot and AI‑assisted development workflows.
• Familiarity with LLMs, prompt engineering, embeddings, and RAG patterns.
• Proven ability to evaluate and operationalize emerging technologies.
Preferred Qualifications
• 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.
What Success Looks Like
• Measurable improvements in developer velocity and workflow efficiency.
• Broad adoption of Copilot‑based development practices.
• Reduced friction across the software development lifecycle.
• Scalable, reusable AI patterns adopted across teams.
Why This Role Matters
• You will shape how AI transforms software development at scale.
• You’ll influence modern, Copilot‑first engineering workflows.
• Your work will directly enable engineers to focus on higher‑value problem solving.
• You’ll help define the future of AI‑driven developer productivity.
This role researches, evaluates, and supports the adoption of emerging technologies, including identifying effective AI use cases to drive
efficiency. It applies core software engineering principles to design, develop, test, integrate, and maintain applications that deliver business
value. The role manages the full system development lifecycle, ensuring solutions are delivered on time, within budget, and successfully
implemented. It provides deep functional and subject‑matter expertise, interpreting business challenges and recommending best practices to
solve complex problems. While primarily an individual contributor, the role may act as a player‑coach, leading projects or teams and operating
independently with guidance only in the most complex situations.
Agile Engineering Best Practices
• Identifies and recommends improvements to the software development lifecycle and best practices in agile engineering.
• Provides input into various software development strategies (e.g., unit testing, acceptance testing, continuous delivery and integration,
release and deployment for frequent and reliable release), providing the case for using agile vs. traditional methodologies.
• Develops the roadmap and guidelines for tailoring agile practices to a complex and dynamic software development project.
Project Management
• Prioritizes multiple project plans, making final decisions about priorities, timing and resources.
• Keeps abreast of the progress of multiple projects within a program or across the department; coaches project managers to adjust priorities or timelines as needed.
• Monitors resource usage across projects or programs, identifying areas or synergy or redundancy and looking for ways to optimize efficiency.
Troubleshooting
• Provides guidance and expertise to analyze data and patterns and assess the root cause of complex, non-routine problems.
• Collaborates with others across disciplines to brainstorm and execute solutions to the most complex, uncommon problems.
• Guides the execution of solutions for complex, non-routine issues; redirects solution implementation if desired results were not originally met.
Application Development/Programming
Identifies areas for improvement and develops innovative enhancements using available software development tools following design requirements of customer.
System and Technology Integration
Interprets internal/external business challenges and recommends integration of the appropriate systems, applications and technology to
provide a fully functional solution to a business problem.
• Exceeds customers’ expectations by listening for unexpressed needs; connects customer needs to relevant service offerings and new technology.
• Leads others in resolving technical issues in a timely manner; follows up with customers to ensure satisfaction.
• Partners with the business to integrate new technologies into business solutions; creates and communicates a vision of the technology requirements for the future state of the business
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 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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