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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