AI Solutions Engineer - Dallas or Mokena IL - GC or US Citizen required

Atkore•Mokena, IL
•$110,400 - $151,800•Onsite

About The Position

The AI Solutions Engineer supports Atkore’s newly established AI team as part of the Enterprise Architecture, Data Services and Automation (RPA/AI) team. The team works across business and IT to translate Atkore strategy into executable, scalable platforms, delivering secure and resilient integration and automation across processes, applications, and data. The role reports to the Director of IT Enterprise Architecture, Data Services and Automation (RPA/AI), and is based in the Mokena, Illinois or Dallas, Texas office. The engineer builds the technical interfaces, agent runtimes, and enterprise integrations that enable AI solutions to securely interact with Atkore’s systems, data, and business processes. Working with AI Infrastructure, Enterprise Architecture, Data Services, and business partners, the role turns AI use cases into scalable, reliable, and observable technical solutions and connects models and agents to enterprise systems. The position requires authorization to work in the United States without current or future sponsorship. Atkore describes itself as a leading provider of electrical, safety, and infrastructure solutions, with a global network of manufacturing and distribution facilities.

Requirements

  • Bachelor of Science or Bachelor of Arts in Computer Science, Business, or a related field.
  • At least 5 years of experience in backend software development or enterprise systems integration.
  • Proficiency in Python, RESTful API design, and data serialization formats such as JSON and YAML.
  • Experience working with enterprise data platforms, message queues, or service buses.
  • Working knowledge of AI and agent-based architectures, including LLM APIs (e.g., MCP and A2A), embeddings, and retrieval-augmented generation (RAG) concepts.
  • Hands-on experience with public cloud platforms.
  • 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 technical and non-technical stakeholders.
  • Must embrace and foster an environment supporting Atkore’s core values of Accountability, Teamwork, Integrity, Respect, and Excellence.
  • Must be authorized to work in the U.S. without current or future sponsorship needs.

Nice To Haves

  • Azure cloud experience is preferred.
  • Experience integrating with legacy systems, manufacturing, or operational technology (OT) environments.

Responsibilities

  • Design, build, and maintain AI agent runtime environments supporting internal AI tools and solutions.
  • Develop and manage connectors and integrations with enterprise platforms such as ERP, MES, CRM, databases, and file systems.
  • Standardize and expose data and process access through well-defined REST, GraphQL, or asynchronous APIs.
  • Implement observability, logging, and error-handling frameworks to monitor AI agent behavior and performance.
  • Partner with business analysts, product owners, and application teams to translate AI use cases into production-ready integrations.
  • Contribute to shared metadata standards, interface contracts, and integration patterns to enable safe and reusable AI capabilities.
  • Support secure and scalable AI adoption by aligning with cybersecurity, data governance, and infrastructure standards.
  • Stay current on emerging AI agent architectures, integration frameworks, and enterprise AI best practices.
  • Work closely with Data Engineering, Application Integration, and other IT teams to enable AI use cases across Atkore operations.
  • Contribute to initial integrations or AI solution pilots, deliver AI integrations and agent runtime components into production, and help improve observability and operational stability.
  • Collaborate with Enterprise Architecture, Cybersecurity, Data Services, and IT peers to establish reusable standards, support AI solutions connected to core business systems, and contribute to team KPIs and continuous improvement.

Benefits

  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Life insurance
  • Short-term disability insurance
  • Long-term disability insurance
  • 401(k)
  • Paid Time Off
  • Paid holidays
  • Any leave required under federal, state, or local law
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