AI Enablement Engineer
Hybrid · Houston, Texas, United States or Austin, Texas, United States
Job Summary
Lead AI adoption initiatives across AWC by designing governance, training AI champions, and building repeatable enablement programs; translate operational challenges into AI-enabled solutions; collaborate with IT, security, legal, and SMEs; develop validation methodologies and deployment checklists; maintain source governance processes and deployment readiness; establish a repeatable enterprise framework for AI-enabled business improvement; create an enterprise library of approved AI patterns, templates, and accelerators; measure impact through cycle-time reduction, throughput improvements, and time savings; travel 30–40% during the first year and 20–30% thereafter.
Required Qualifications
- Bachelor's degree in Engineering
- 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 ERP/CRM data and knowledge repositories
- Sound judgment regarding governance, data sensitivity, technical limitations, and human-in-the-loop review
- Ability to travel 30-40% in year one and 20-30% thereafter
Desired Qualifications
- 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
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