AI DevOps Engineer
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 secure, resilient integration and automation across business, manufacturing, and corporate platforms. The AI DevOps Engineer will be responsible for designing, building, and operating the foundational infrastructure for enterprise AI capabilities, ensuring scalability, security, and compliance for AI agent development and integration. This position reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI) and will be based in Mokena, Illinois.
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
Nice To Haves
- 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
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
Benefits
- Medical, vision, and dental insurance
- Life insurance
- Short-term and long-term disability insurance
- 401k
- Paid Time Off
- Paid holidays
- Any leave required under federal, state, or local law
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
