AI Integration Engineer

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

• 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 tool chains, Dev Sec Ops  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.

• 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.

• 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 Git Hub, Git Hub Actions, Artifactory, Sonar, Checkmarx, and Black Duck.
• Enable testing and validation integrations with platforms such as JMeter,…