AI Integration Engineer

NTT DATA North America; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

NTT DATA North America in Charlotte, NC is seeking an AI Integration Engineer to provide hands-on technical leadership for architecture, integration, governance, and operationalization of enterprise AI engineering platforms.

The role drives AI-enabled transformation across the end-to-end SDLC, with experience integrating AI coding assistants, MCP services, and DevSecOps tooling across SaaS and on-premises environments.

Qualifications

• Experience leading AI-enabled engineering platforms and architecture.
• Deep understanding of end-to-end SDLC and CI/CD in large enterprises.
• Familiarity with Model Context Protocol (MCP) and AI tooling.
• Knowledge of security controls, governance, and regulatory requirements.

Responsibilities

• Provide hands-on leadership for architecture, integration, governance, and operationalization of enterprise AI engineering platforms.
• Lead the integration of AI coding assistants, MCP services, and DevSecOps tooling across SaaS and on-premises environments.
• Guide enterprise patterns for security, compliance, and observability across the AI enablement lifecycle.
• Collaborate with stakeholders to ensure scalability, reliability, and modernization roadmaps.

Skills

AI integration

Enterprise architecture

DevSecOps

Security governance

Platform integration

Observability/Monitoring

Tools

Jira

Confluence

GitHub

GitHub Actions

Artifactory

Sonar

Checkmarx

Black Duck

JMeter

HyperExecute

Report Portal

BrowserStack

BlazeMeter

Harness

Ansible

ServiceNow

Splunk

AppDynamics

Job description

AI Integration Engineer -26-02126
1yr Duration
Hybrid/Onsite in Charlette, NC
Temp W2 or C2C

Job Description:

• The Principal Engineer will provide hands-on technical leadership for the architecture, integration, governance, and operationalization of enterprise Al engineering platforms. The role will drive Al-enabled transformation across the end-to-end Software Development Lifecycle (SLC), including requirements, design, development, testing, deployment, release, and operations.
• The ideal candidate will be a seasoned engineering and platform architect with experience integrating Al coding assistants, autonomous software engineering agents, Model Context Protocol (MCP) services, SaaS and on-premises platforms, developer toolchains, DevSecOps automation, security controls, and production operations.
• The role will lead the evolution of enterprise Al enablement patterns supporting platforms such as Devin and other Al-assisted engineering solutions. The Principal Engineer 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.

In this role, you will:

• Act as a trusted technical advisor to senior leadership on highly complex Al 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 Al capabilities into scalable engineering solutions.
• Provide vision, direction, and hands-on technical expertise for innovative, long-term, and enterprise-scale Al 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.

Key Responsibilities

• AI Enablement Architecture and Engineering Leadership
• Lead the architecture and continued evolution of enterprise Al engineering capabilities across Saas, cloud, desktop, and on-premises environments.
• Design scalable, resilient, secure, and compliant integration patterns for Al coding assistants and software engineering agents.
• Define enterprise patterns for Model Context Protocol (MCP), remote and hosted MCP services, MCP gateways, enterprise tools, APls, 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, and platform guardrails.
• Lead high-level architecture, end-to-end flow, authentication and authorization, network connectivity,
• API contract, and service integration design.
• Al-Enabled Software Development Lifecycle
• Drive Al integration across the Define, Design, Develop, Test, Deploy, Release, and Operate phases of the SDLC.
• Enable integrations with requirements and collaboration platforms, including Jira and Confluence.
• Enable design workflows and integrations with tools such as Figma and enterprise architecture services.
• Integrate Al capabilities with developer and software supply chain platforms, including GitHub, GitHub Actions, Artifactory, Sonar, Checkmarx, and Black Duck.
• Enable testing and validation integrations with platforms such as JMeter, HyperExecute, Report Portal, BrowserStack, and BlazeMeter.
• Integrate deployment and release workflows with platforms such as Harness, Ansible, and ServiceNow.
• Enable operational integrations with observability and monitoring platforms such as Splunk and AppDynamics
• Delivery, Validation, Security, and Governance
• Lead delivery from initiation and requirements through architecture and design, build and configuration, validation, security and governance, production readiness, and go-live.
• Define functional and non-functional requirements and perform tool capability assessments.
• Guide service account and secret configuration, router or gateway integration, proxy developer and connectivity with target services and tools.
• Lead non-production deployment and connectivity, functional, integration, security, user accept and performance testing.
• Initiate and support architecture, cyber security, third-party or SaaS, risk, compliance, and governance reviews and approvals.
• Ensure solutions comply with enterprise security, data protection, technology risk, regulatory, operational requirements.
• Production Readiness and Operations
• Drive change request initiation, production readiness review, and required change approvals.
• Establish monitoring, logging, alerting, incident response, support, and service management standards.
• Develop runbooks, playbooks, game plans, rollback strategies, and operational handoff models
• Guide production deployment, post-implementation testing, monitoring and alerting review, and continuous operational improvement.
• Partner with DevOps, Release Engineering, and Site Reliability Engineering teams to improve platform reliability, resilience, and supportability.
• Cross-Functional Collaboration
• Partner with product owners, UX designers, developers, application architects, testers, DevOps engineers, release technology leads, release engineers, and site reliability engineers.
• Collaborate with Architecture, Cybersecurity, Infrastructure, Platform Engineering, Application Development, Quality Engineering, Risk, Compliance, and Operations teams.
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