Principal Engineer

Company Overview:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity.

We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at

The role will provide hands‑on technical leadership for the architecture, integration, governance, and operationalization of enterprise AI engineering platforms. The role will drive AI‑enabled transformation across the end‑to‑end Software Development Lifecycle (SDLC), including requirements, design, development, testing, deployment, release, and operations.

The ideal candidate will be a seasoned engineering and platform architect with experience integrating AI coding assistants, autonomous software engineering agents, Model Context Protocol (MCP) services, SaaS and on‑premises platforms, developer tool chains, Dev Sec Ops  automation, security controls, and production operations.

The role will lead the evolution of enterprise AI enablement patterns supporting platforms such as Devin and other AI‑assisted engineering solutions. The role will guide integration with requirements management, source control, CI/CD, security scanning, testing, release management, observability, and IT service management platforms while ensuring alignment with enterprise security, technology risk, compliance, and operational requirements.

• Act as a trusted technical advisor to senior leadership on highly complex AI engineering, platform, application, infrastructure, security, governance, and software delivery decisions.
• Lead the strategy and resolution of enterprise challenges that require evaluation across multiple technology areas and organizations.
• Translate product objectives, enterprise technology strategy, risk requirements, and emerging AI capabilities into scalable engineering solutions.
• Provide vision, direction, and hands‑on technical expertise for innovative, long‑term, and enterprise‑scale AI enablement capabilities.
• Maintain knowledge of industry practices and emerging technologies, recommending innovations that improve engineering productivity, delivery quality, operational effectiveness, or business outcomes.
• Strategically engage with professionals and leaders across DT and influence architecture standards, engineering practices, integration patterns, and modernization roadmaps.

• AI Enablement Architecture and Engineering Leadership
  • Lead the architecture and continued evolution of enterprise AI engineering capabilities across SaaS, cloud, desktop, and on‑premises environments.
  • Design scalable, resilient, secure, and compliant integration patterns for AI coding assistants and software engineering agents.
  • Define enterprise patterns for Model Context Protocol (MCP), remote and hosted MCP services, MCP gateways, enterprise tools, APIs, and platform interoperability.
  • Provide hands‑on technical leadership for solution design, implementation, integration, and operationalization.
  • Establish reusable architecture patterns, engineering standards, reference implementations, implementation playbooks,…