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AI Developer IV / Principal AI Engineer

  • Oregon, Remote

  • 07/28/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    We are seeking a Principal AI Engineer (AI Developer IV) to provide enterprise-wide technical leadership for AI initiatives while remaining actively involved in hands-on software development. This role is responsible for defining AI architecture, leading large-scale AI transformation programs, developing production-ready AI solutions, and establishing engineering standards, governance, and best practices. The ideal candidate will have extensive experience in enterprise software engineering, Python development, cloud-native architecture, distributed systems, Generative AI, and infrastructure automation.

    Key Responsibilities
    • Define and lead the organization's enterprise AI architecture strategy and long-term technical roadmap.
    • Design, develop, and deploy scalable AI-powered applications, distributed systems, and cloud-native solutions.
    • Provide technical leadership for enterprise AI transformation initiatives across multiple engineering teams.
    • Develop production-quality software using Python and modern software engineering practices.
    • Architect scalable APIs, microservices, and distributed application platforms.
    • Partner with engineering, product management, research scientists, AI/ML engineers, and business stakeholders to deliver strategic AI initiatives.
    • Establish AI governance, security standards, responsible AI practices, and enterprise engineering guidelines.
    • Evaluate emerging AI technologies and recommend strategic technology investments and adoption strategies.
    • Drive the adoption of AI-assisted software development tools and modern engineering practices.
    • Design cloud-native architectures using AWS and/or Google Cloud Platform (GCP).
    • Develop and manage Infrastructure as Code (IaC) solutions using Terraform.
    • Build and optimize CI/CD pipelines to support enterprise software delivery.
    • Lead architecture reviews, technical design sessions, and engineering governance activities.
    • Mentor senior engineers and cultivate technical leadership across engineering organizations.
    • Guide engineering teams through architectural decisions involving AI services, cloud platforms, distributed systems, and enterprise data ecosystems.
    • Support multiple Agile project teams operating within quarterly planning and delivery cycles.
    • Promote engineering excellence through best practices, code reviews, technical standards, and continuous improvement initiatives.

    Required Qualifications
    • Bachelor's degree in Computer Science, Engineering, or a related technical field.
    • 15+ years of professional software engineering experience.
    • Minimum of 2 years of experience designing and developing AI-powered applications or enterprise AI solutions.
    • Expert-level Python development experience.
    • Extensive experience designing scalable enterprise applications, distributed systems, and microservices architectures.
    • Strong experience with Generative AI technologies and AI application architecture.
    • Experience designing and deploying cloud-native applications on AWS and/or Google Cloud Platform (GCP).
    • Strong experience with Infrastructure as Code (IaC) using Terraform.
    • Experience implementing and maintaining CI/CD pipelines.
    • Experience leading large-scale technical programs and enterprise architecture initiatives.
    • Strong understanding of modern software architecture, cloud engineering, and distributed computing principles.
    • Experience using AI-assisted development tools such as Claude, Codex, GitHub Copilot, or similar platforms.
    • Strong analytical, troubleshooting, and problem-solving skills.
    • Excellent verbal and written communication skills with the ability to influence executive leadership, business stakeholders, and engineering teams.
    • Ability to work remotely during Central Time (CST) core business hours.

    Preferred Qualifications
    • Recognized expertise in Artificial Intelligence and Machine Learning with enterprise-scale implementation experience.
    • Experience establishing AI governance frameworks and responsible AI practices.
    • Experience leading enterprise AI transformation programs.
    • Strong background in enterprise data platforms, data engineering, and data ecosystems.
    • Experience with modern front-end technologies such as Vue.js, React, or Angular.
    • Experience mentoring senior engineers, architects, and technical leaders.
    • Deep understanding of emerging AI technologies, enterprise AI strategy, and cloud modernization initiatives.
    • Experience working in Agile software development environments and leading cross-functional engineering teams.

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