Principal Engineer; Onsite) Irving, TX

Principal Engineer (Onsite)

Location:

Irving, TX

Interview mode:
In Person

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 to 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 integration with requirements and collaboration platforms, including Jira and Confluence.
• Enable design workflows and integration 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, Hyper Execute,…