Principal Engineer

JobDiva, Inc.; Charlotte (NC); On-site; USD 110,000 - 121,000; Full time

Job summary

NTT DATA in Charlotte, NC seeks a Principal Engineer to provide technical leadership for AI engineering platforms across the SDLC, cloud and on‑premises infrastructure, and DevSecOps tooling. You will drive enterprise standards, scalable patterns, and platform interoperability while guiding design, implementation, testing and operations.

The role partners with security, risk, and product teams to deliver secure, compliant, observable solutions that accelerate AI-enabled software development and

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Minimum of 15 years of experience in software engineering, platform engineering, systems engineering, or related technical disciplines.
• Minimum of 5 years of experience leading enterprise-scale engineering initiatives, architecture programs, or technology transformation efforts.

Responsibilities

• Lead architecture design for API integration, security, and platform interoperability across SaaS, cloud, and on‑prem environments.
• Provide hands‑on leadership for solution design, implementation, integration, testing, deployment, and operations.
• Define enterprise patterns, standards, reference architectures, and governance for AI-enabled software engineering.

Skills

Technical leadership

AI engineering

Enterprise architecture

SDLC

DevSecOps

Cloud & on‑prem

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Enterprise

Jira

Confluence

Observability tools

Security tooling

Job description

Req ID: 390501

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.

We are currently seeking a Principal Engineer to join our team in Charlotte, North Carolina (US-NC), United States (US).

Job Description:

The Principal Engineer provides technical leadership for the architecture, integration, governance, implementation, and operational support of enterprise AI engineering platforms. This role drives AI-enabled transformation across the Software Development Lifecycle (SDLC), including requirements management, design, development, testing, deployment, release management, and operations.

The position is responsible for designing and implementing scalable, secure, resilient, and compliant AI engineering solutions that integrate with enterprise development platforms, DevSecOps toolchains, cloud and on-premises infrastructure, observability solutions, and operational support processes.

The Principal Engineer partners with engineering, architecture, infrastructure, security, risk, compliance, and product teams to establish enterprise standards, reusable patterns, and best practices for AI-enabled software engineering capabilities.

Key Responsibilities

Technical Leadership and Strategy

• Serve as a technical advisor on complex AI engineering, platform, application, infrastructure, security, governance, and software delivery initiatives.
• Lead technical strategy and solution development for enterprise-scale engineering and platform challenges.
• Translate business requirements, technology strategy, risk considerations, and emerging AI capabilities into scalable engineering solutions.
• Provide technical leadership and guidance for enterprise AI enablement initiatives.
• Evaluate industry trends, tools, and technologies and recommend solutions that improve engineering productivity, delivery quality, operational effectiveness, and business outcomes.
• Influence architecture standards, engineering practices, integration patterns, and technology roadmaps across multiple teams.
• AI Engineering Platform Architecture
• Lead the architecture and evolution of enterprise AI engineering platforms across SaaS, cloud, desktop, and on-premises environments.
• Design scalable, resilient, secure, and supportable integration patterns for AI coding assistants, software engineering agents, and developer productivity platforms.
• Define enterprise architecture patterns for Model Context Protocol (MCP), MCP gateways, APIs, enterprise services, and platform interoperability.
• Provide hands‑on leadership for solution design, implementation, integration, testing, deployment, and operationalization.
• Establish reusable architecture patterns, engineering standards, reference architectures, implementation guidance, and platform controls.

Lead architecture design activities involving:

• API architectures
• Authentication and authorization
• Network connectivity
• Service integration
• Platform security
• Scalability and resiliency
• AI-Enabled Software Development Lifecycle
• Lead integration of AI capabilities throughout the SDLC, including requirements, design, development, testing, deployment, release, and operations.
• Enable integration with requirements management and collaboration platforms.
• Support AI-enabled design workflows and architecture tooling.
• Integrate AI capabilities with developer platforms, source control systems, software supply chain tools, CI/CD platforms, and DevSecOps solutions.
• Enable integration with testing, validation, quality engineering, deployment, and release management platforms.
• Support integration with observability, monitoring, logging, and operational management platforms.
• Delivery, Security, Risk, and Governance
• Lead initiatives from requirements through architecture, implementation, validation, production readiness, deployment, and operational support.
• Define functional and non-functional requirements and conduct platform capability assessments.
• Guide implementation of identity, access management, secrets management, gateway integration, network connectivity, and security controls.
• Lead functional, integration, security, performance, and user acceptance testing activities.
• Partner with security, risk, compliance, legal, procurement, and governance stakeholders as required.
• Ensure solutions align with enterprise security, technology risk, data protection, regulatory, and operational requirements.
• Support architecture reviews, risk assessments, security reviews, and governance approval processes.
• Production Readiness and Operations
• Lead production readiness planning and deployment activities.
• Establish standards for monitoring, logging, alerting, incident management, and operational support.
• Develop operational procedures, implementation plans, rollback strategies, and support models.
• Support production deployments and post-implementation validation activities.
• Partner with DevOps, Platform Engineering, Release Engineering, and Site Reliability Engineering teams to improve reliability, resiliency, performance, and supportability.
• Promote continuous improvement through operational metrics, feedback mechanisms, and process optimization.

Cross-Functional Collaboration

• Partner with product owners, developers, architects, designers, quality engineers, platform engineers, release teams, and site reliability engineers.
• Collaborate with architecture, cybersecurity, infrastructure, risk, compliance, and operations teams.
• Facilitate technical discussions and obtain alignment across stakeholders.
• Communicate technical concepts, risks, trade-offs, and recommendations to technical and non-technical audiences.
• Mentor engineers and architects and contribute to engineering communities of practice.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; or an equivalent combination of education, training, military experience, and relevant work experience.
• Minimum of 15 years of experience in software engineering, platform engineering, systems engineering, infrastructure engineering, architecture, or related technical disciplines.
• Minimum of 5 years of experience leading enterprise-scale engineering initiatives, architecture programs, platform integrations, or technology transformation efforts.

Minimum of 5 years of hands‑on experience in one or more of the following:

• Software Engineering
• Platform Engineering
• DevOps Engineering
• Cloud Engineering
• Infrastructure Automation
• API Integration
• Experience designing and implementing enterprise-scale solutions within SDLC, DevSecOps, CI/CD, cloud, SaaS, or on-premises environments.
• Experience with:
• Enterprise architecture principles
• API and service integration
• Authentication and authorization
• Secrets management
• Network connectivity
• Security controls
• Experience leading cross-functional technology initiatives involving engineering, architecture, security, risk, compliance, and operations stakeholders.
• Experience establishing production readiness, observability, operational support, governance, and continuous improvement practices.
• Demonstrated ability to communicate technical information effectively to diverse stakeholder groups.

Preferred Qualifications

• Experience with Generative AI, Agentic AI, Large Language Models (LLMs), AI engineering platforms, or AI-assisted software development solutions.
• Knowledge of:
• Model Context Protocol (MCP)
• MCP gateways
• Agent orchestration frameworks
• Enterprise AI architecture patterns
• Experience integrating AI-enabled developer productivity tools, coding assistants, or software engineering agents into enterprise environments.
• Experience with one or more of the following platforms or comparable technologies:
• GitHub Enterprise
• GitHub Actions
• Jira
• Confluence
• Figma
• Artifactory
• Sonar
• Checkmarx
• Black Duck
• BrowserStack
• BlazeMeter
• ReportPortal
• Harness
• ServiceNow
• Splunk
• AppDynamics
• Ansible
• Experience in regulated industries such as financial services, healthcare, insurance, telecommunications, utilities, or similar environments.
• Knowledge of secure architecture, third-party risk management, SaaS governance, data protection, technology risk management, compliance, and operational controls.
• Experience creating reusable frameworks, reference implementations, architecture standards, technical guidance, adoption plans, and enablement programs.
• Demonstrated ability to influence technical strategy and architecture decisions across multiple organizations.
• Strong written, verbal, presentation, stakeholder management, and collaboration skills.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($80-$88/hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

About NTT DATA:

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 us.nttdata.com

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NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.