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Ai Engineer

United States, Rockford · Job Posted May 04, 2026
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Job Description

The AI Engineer will be contributing to designing, implementing, governing, and scaling AI and agentic solutions across Wolverine Worldwide. This role partners closely with key stakeholders in Data & Analytics, IT, Security, and Business to drive AI initiatives in secure, governed, reusable, and value-driven ways. The AI Engineer plays a critical role in delivering the AI strategy, balancing innovation with governance, managing tool and agent sprawl, and enabling safe adoption of AI through standards, training, and platform enablement.

Job Responsibility

  • Supports implementation and operationalization AI review policies, standards, and procedures to ensure AI solutions deliver sustained business value
  • Contributes to the establishment and evolution of Technical Data & AI Governance capability
  • Participates in establishing and implementing guardrails to manage agent sprawl
  • Supports ownership and execution of AI Council priorities
  • Designs, builds, and / or maintains of some critical AI-powered applications and Co-Pilot based agents and agentic AI solutions
  • Partners effectively with business teams and other stakeholders to translate use cases into scalable AI solutions
  • Provides technical guidance and oversight for AI solutions
  • Ensures alignment of AI solutions with enterprise architecture, security, privacy, and compliance requirements
  • Supports enterprise-wide AI upskilling efforts
  • Contributes to and help shape the AI Community of Excellence (CoE)
  • Enables citizen development of Copilot agents
  • Works cross-functionally with Data Engineering, Analytics, Security, Infrastructure, and Application teams
  • Evaluates emerging AI technologies, tools, and frameworks and recommend adoption where appropriate
  • Authors and maintain technical documentation for AI architectures, standards, and solutions
  • Participate in change management and operational readiness activities related to AI deployments
  • Performs duties consistent with the company's AAP/EEO goals and policies
  • Performs other duties as required/assigned by manager

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience
  • 4+ years of experience in software engineering, data engineering, or applied AI/ML roles
  • Hands-on experience building or integrating AI-driven solutions, including: LLM-based applications
  • AI agents or copilots
  • API-driven AI services
  • Strong understanding of AI governance concepts, including risk, privacy, security, and lifecycle management
  • Experience working in a cloud-based ecosystem (Azure preferred)
  • Strong analytical, problem-solving, and communication skills
  • Ability to collaborate effectively across technical and non-technical teams
  • Ability to establish and maintain effective working relationships at all levels of the organization

Nice to have

  • Machine learning or deep learning frameworks
  • Prompt engineering and agent orchestration
  • MLOps / AIOps
  • Background in data engineering or architecture, including data pipelines, modeling, and analytics platforms
  • Experience supporting citizen development or low-code/no-code AI solutions
  • Familiarity with Microsoft Copilot, Fabric, Azure AI services, or similar platforms
  • Prior experience contributing to AI standards, governance bodies, or centers of excellence

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