AI DevOps Engineer-must be authorized to work in the US without any sponsorship

Atkore•Mokena, IL

69d•$107,920 - $148,390•Hybrid

About The Position

Atkore is seeking an AI DevOps Engineer to join its newly established AI team, which is part of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. This role will support the creation of scalable platforms and deliver secure, resilient integration and automation. The AI DevOps Engineer will be responsible for designing, building, and operating the foundational infrastructure for Atkore’s enterprise AI capabilities, enabling scalable, secure, and compliant AI agent development and integration across various platforms. The position requires close collaboration with Enterprise Architecture, Information Security, Data Services, and application delivery teams to ensure AI platforms are reliable, governed, and aligned with Atkore IT standards.

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
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
Must be authorized to work in the US without any current or future sponsorship needs.

Nice To Haves

Experience integrating AI platforms with ERP, MES, or manufacturing systems within an industrial or manufacturing environment
Exposure to AI governance, model risk management, or responsible AI frameworks

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.