AI DevOps Engineer

About the role

This role is for an AI DevOps Engineer at Atkore, a leading provider of electrical, safety, and infrastructure solutions. The AI DevOps Engineer will support Atkore's newly established AI team and work across various business and IT teams to build and operate AI platforms.

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 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

Requirements

• 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 infrastructure-as-code 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

Qualifications

• Must embrace and foster an environment that supports our core values of Accountability, Teamwork, Integrity, Respect, Excellence

Benefits

• Medical, vision, and dental insurance
• Life insurance
• Short-term and long-term disability insurance
• 401k
• Paid Time Off
• Paid holidays

Pay

A good faith estimate of the current pay for this position is $107,920 - $148,390. Placement in the range depends on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs and may change over time.

Schedule

The AI DevOps Engineer role is based in either Mokena, Illinois or Dallas, Texas.