Ai Curriculum Developer Jobs in Spring, TX (NOW HIRING)

Job Summary:
AWC, Inc. is a company committed to practical innovation and continuous learning, seeking an AI Enablement Engineer to drive AI adoption across the organization. This role involves building frameworks for AI solutions, collaborating with various teams to enhance business processes, and creating training programs for AI users.
Responsibilities:
• Lead AI opportunity intake, prioritization, and risk classification across AWC functions and locations
• Identify high-value opportunities to improve productivity, expertise access, consistency, and customer responsiveness
• Establish AI adoption frameworks that can be repeated and scaled across the organization
• Partner with business leaders to align AI initiatives with strategic priorities and measurable outcomes
• Facilitate Kaizen-style process walks to identify workflow friction, rework, delays, manual effort, and knowledge-access gaps
• Map business processes and identify opportunities to eliminate waste and improve throughput
• Translate operational challenges into practical AI-enabled solutions
• Measure and communicate business impact through cycle-time reduction, throughput improvements, and time savings
• Co-build AI assistants, knowledge tools, and workflow automations using approved enterprise platforms and data sources
• Develop validation methodologies, deployment checklists, governance standards, and risk controls
• Partner with IT, security, legal, compliance, and SMEs to ensure safe and responsible AI deployment
• Maintain source governance processes, document lifecycle standards, and deployment readiness reviews
• Train and develop AI Users, AI Champions, AI Builders, and AI Product Owners across AWC
• Build training curriculum, best practices, and reusable deployment playbooks
• Support adoption through coaching, office hours, and continuous improvement activities
• Create an enterprise library of approved AI patterns, templates, lessons learned, and accelerators
• Maintain visibility into AI initiatives, adoption metrics, risks, and business outcomes
• Provide leadership with clear reporting on ROI, adoption, answer quality, and deployment readiness
• Align stakeholders around priorities, governance requirements, and scaling opportunities
• Help establish a repeatable enterprise framework for AI-enabled business improvement
Qualifications:
Required:
• Bachelor's degree in Engineering (Mechanical, Electrical, Computer, Industrial, or related engineering discipline)
• 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
Preferred:
• 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
Company:
We love our customers and are committed to providing Better Automation and Controls Solutions, Products, Engineering, Services and Support to them. Founded in 1965, the company is headquartered in Pelham, USA, with a team of 501-1000 employees. The company is currently Late Stage.