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We're seeking curious, improvement-minded leaders who see opportunities to simplify complexity and help others succeed. Our team of co-owners values ownership, continuous learning, and practical innovation—and we're committed to turning those qualities into solutions that create measurable impact for our customers and our business. If you're ready to help shape how AI accelerates the future of work at AWC, we'd love to have you on our team. The AI Enablement Engineer plays a key role on AWC's team by building and scaling practical AI adoption across the organization. This position is not just about implementing technology—it's about collaborating across functions to create a repeatable operating system for AI-enabled business improvement. Through process discovery, governed AI deployment, training, and continuous improvement, this role helps teams improve speed, consistency, expertise, throughput, and customer responsiveness.
Job Responsibility
Build and Scale AI Adoption Across AWC
Drive Continuous Improvement Through AI
Design and Deploy Governed AI Solutions
Create Repeatable AI Enablement Programs
Create Visibility and Alignment
Requirements
Experience applying Kaizen, Lean, Lean Six Sigma, process engineering, or continuous improvement methodologies
Practical experience with AI tools, AI assistants, workflow automation, knowledge systems, analytics, or business systems implementation
Ability to translate between business users, technical teams, SMEs, and leadership stakeholders
Strong facilitation, coaching, and training skills
Excellent written communication skills, including SOPs, governance documents, training materials, and executive summaries
Data literacy and experience working with reports, spreadsheets, ERP/CRM data, and knowledge repositories
Sound judgment regarding governance, source control, data sensitivity, technical limitations, and human-in-the-loop review
Ability to travel approximately 30–40% during the first year and 20–30% thereafter to support AWC's multi-site footprint
Nice to have
Experience supporting AI adoption in industrial distribution, automation, controls, engineering support, supply chain, operations, or technical sales environments
Demonstrated success leading continuous improvement initiatives with measurable business impact
Experience building governance frameworks, knowledge management systems, or enterprise AI programs
Experience supporting multi-site organizations and scaling best practices across locations
Familiarity with engineering systems, configurator workflows, technical documentation, BOMs, and source-of-truth challenges
Strong bias for action, ownership, teaching others, and building repeatable systems rather than one-time solutions