AI DevOps Engineer

You must be authorized to work in the U.S. without any current or future sponsorship needs. This includes but is not limited to H1B, OPT, EAD, T1 and others. We will not be able to accommodate any of these conditions of employment.

Atkore is forging a future where our employees, customers, suppliers, shareholders, and communities are building better together – a future focused on serving the customer and powering and protecting the world.

With a global network of manufacturing and distribution facilities, Atkore is a leading provider of electrical, safety, and infrastructure solutions.

We are looking for an AI Dev Ops Engineer to support Atkore’s newly established AI team. The AI Dev Ops Engineer will be a member of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This team works across all business and IT teams to turn Atkore strategy into executable and scalable platforms, delivering secure, resilient integration and automation to connect processes, applications and data end-to-end.

This role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in our Mokena, Illinois or Dallas, Texas office.

The AI Dev Ops Engineer is responsible for designing, building, and operating the foundational infrastructure required to support Atkore’s enterprise AI capabilities. This role enables scalable, secure, and compliant AI agent development and integration across business, manufacturing, and corporate platforms.

The position partners closely with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards.

• Design, deploy, and maintain cloud and hybrid infrastructure supporting AI workloads, including container orchestration, GPU-enabled compute, and data platform integration
• Engineer scalable, resilient environments to support AI agent execution, model serving, and experimentation across the enterprise
• Design and manage APIs and microservices that provide secure, controlled data access for AI agents and AI-enabled applications
• Integrate AI infrastructure with enterprise platforms such as data lakes, analytics environments, and business systems
• Implement CI/CD pipelines, infrastructure-as-code, and automation to support AI platform reliability and repeatability
• Establish MLOps practices for model deployment, monitoring, and lifecycle management in partnership with data and AI teams
• Ensure AI infrastructure complies with Atkore security, privacy, and data governance standards
• Collaborate with cybersecurity and risk teams to enforce secure identity, access management, and auditability across AI platforms
• Partner with Enterprise Architecture to align AI platform design to long-term technology standards and roadmaps
• Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations

• BS / BA in Computer Science, Business or related field of study
• At least 5 years of experience in Dev Ops, Cloud Engineering, or Infrastructure Engineering roles
• Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructure‑as‑code tools (e.g. Terraform)
• Hands‑on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services
• Strong understanding of enterprise security principles, identity management, and secure API design
• Familiarity with data platforms and analytics ecosystems supporting structured and unstructured enterprise data
• Familiarity with Software Development Life Cycle and Agile delivery processes
• Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment desired
• Exposure to AI governance, model risk management, or responsible AI frameworks desired
• Strong analytical, problem-solving, and collaboration skills
• Ability to communicate effectively with both technical and non-technical stakeholders
• Must embrace and foster an environment that supports our core values of…