AI Engineer

Wolverine Worldwide•Rockford, MI

18h•Hybrid

About The Position

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.

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 Haves

Deep experience with: 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.

Responsibilities

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, including: Architectural standards, Model and agent lifecycle management, Monitoring, evaluation, and refinement of AI solutions.
Participates in establishing and implementing guardrails to manage agent sprawl, ensuring AI agents are discoverable, maintainable, and appropriately governed.
Supports ownership and execution of AI Council priorities, including intake, evaluation, and sequencing of AI initiatives.
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 including: Contributing to formulating and organizing vendor led training, AI Office-hours and Tech deep dive sessions, Hands-on demonstration and walkthroughs for AI solutions.
Contributes to and help shape the AI Community of Excellence (CoE) to share best practices, patterns, and reusable components.
Enables citizen development of Copilot agents by: Providing technical guidance on scaling, Defining governance models that allow safe, decentralized innovation, Supporting review and implementation of high-value citizen-built solutions.
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.