AI DevOps Engineer — Cloud & MLOps for Enterprise AI

Atkore International; Mokena (IL); On-site; USD 108,000 - 148,000; Full time

Job summary

Atkore International seeks an AI DevOps Engineer to design, build, and operate the foundational AI infrastructure across enterprise platforms. You will enable secure AI agent development, model serving, and integration with data lakes and business systems.

The role partners with Enterprise Architecture, Cybersecurity, and Data Services to ensure scalable, governed, and compliant AI platforms aligned with IT standards. On-site in Mokena, IL or Dallas, TX.

Qualifications

• BS / BA in Computer Science, Business or related field of study.
• At least 5 years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles.
• Expertise in containerization and orchestration technologies (e.g. Kubernetes, Docker) and infrastructureascode tools (e.g. Terraform).
• Hands-on experience with public cloud platforms (Azure preferred), including networking, compute, and identity services.
• Experience supporting AI/ML infrastructure platforms (e.g. Azure ML Studio, Mflow, etc)
• 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 Accountability, Teamwork, Integrity, Respect, Excellence

Responsibilities

• 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 longterm technology standards and roadmaps
• Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations

Skills

DevOps experience

Cloud engineering

Security principles

Communication

Problem-solving

Collaboration

Education

BS / BA in Computer Science, Business or related field

Tools

Kubernetes

Docker

Terraform

Azure

Azure ML Studio

MLflow / Mflow

Job description

Atkore International seeks an AI DevOps Engineer to design, build, and operate the foundational AI infrastructure across enterprise platforms. You will enable secure AI agent development, model serving, and integration with data lakes and business systems.

The role partners with Enterprise Architecture, Cybersecurity, and Data Services to ensure scalable, governed, and compliant AI platforms aligned with IT standards. On-site in Mokena, IL or Dallas, TX.