Opus
Overview
AI Engineering LeadAdoption and Excellence at Opus. The AI Engineering LeadAdoption and Excellence will drive our organization's transformation into an AI-augmented engineering powerhouse. This role will shape how our 40+ engineers leverage AI to modernize legacy systems, accelerate development, and deliver breakthrough innovations. Responsibilities
Project Scaffolding & Acceleration (40-50% initially, trending to 20%) Execute sprint-based rapid interventions: In 1-2 week sprints, transform critical but neglected codebases (e.g., convert a 10,000-line undocumented VB6 module into documented, tested, AI-ready C# with comprehensive handoff materials) Deploy for rapid engagements where product management identifies high-impact opportunities Create hand-off packages that enable seamless transitions to responsible teams, including architecture diagrams, test suites, and AI-ready documentation Serve as an AI pair programmer trainer for critical modernization initiatives Transform undocumented legacy code into maintainable, AI-ready codebases with 90%+ test coverage Innovation & Strategic Development (10-20% initially, trending to 40%) Identify opportunities for ML/AI enhancement across products and processes Evaluate and prototype AI-powered features such as: Fraud detection and automated validation systems; Intelligent reporting and analytics dashboards; Automating compliance reporting with NLP-based document analysis Own company-wide AI models, platforms, and tools inventory Develop AI capabilities for customer engagement, analytics, and operational excellence Stay current on emerging AI technologies and translate them into practical use cases Partner with leadership to define long-term AI strategy and roadmap Team Enablement & Culture Building (30-40%) Develop AI usage guidelines balancing innovation with compliance Lead cultural transformation initiatives across engineering teams Create role-specific training materials for different engineering disciplines Build and maintain a library of prompts, templates, and best practices Establish and coordinate an AI Champions network across all teams Own and expand AI Office Hours program with participation and adoption metrics Facilitate hands-on workshops and training programs Work with managers to integrate AI into sprint planning and workflows Convert AI skeptics through 1-on-1 sessions showing personalized productivity gains Create "safe failure" environments where engineers can experiment without judgment Document and address common concerns (job security, code quality, learning curve) Design engagement initiatives including challenges, contests, and gamified learning platforms Create success stories and showcase wins Report qualitative and quantitative impact metrics Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Opus by 2x Get notified about new Lead Engineer jobs in Tucson, AZ. Tucson, AZ $78,853 - $236,579 2 months ago Tucson, AZ $125,000.00 - $222,000.00 7 hours ago #J-18808-Ljbffr
AI Engineering LeadAdoption and Excellence at Opus. The AI Engineering LeadAdoption and Excellence will drive our organization's transformation into an AI-augmented engineering powerhouse. This role will shape how our 40+ engineers leverage AI to modernize legacy systems, accelerate development, and deliver breakthrough innovations. Responsibilities
Project Scaffolding & Acceleration (40-50% initially, trending to 20%) Execute sprint-based rapid interventions: In 1-2 week sprints, transform critical but neglected codebases (e.g., convert a 10,000-line undocumented VB6 module into documented, tested, AI-ready C# with comprehensive handoff materials) Deploy for rapid engagements where product management identifies high-impact opportunities Create hand-off packages that enable seamless transitions to responsible teams, including architecture diagrams, test suites, and AI-ready documentation Serve as an AI pair programmer trainer for critical modernization initiatives Transform undocumented legacy code into maintainable, AI-ready codebases with 90%+ test coverage Innovation & Strategic Development (10-20% initially, trending to 40%) Identify opportunities for ML/AI enhancement across products and processes Evaluate and prototype AI-powered features such as: Fraud detection and automated validation systems; Intelligent reporting and analytics dashboards; Automating compliance reporting with NLP-based document analysis Own company-wide AI models, platforms, and tools inventory Develop AI capabilities for customer engagement, analytics, and operational excellence Stay current on emerging AI technologies and translate them into practical use cases Partner with leadership to define long-term AI strategy and roadmap Team Enablement & Culture Building (30-40%) Develop AI usage guidelines balancing innovation with compliance Lead cultural transformation initiatives across engineering teams Create role-specific training materials for different engineering disciplines Build and maintain a library of prompts, templates, and best practices Establish and coordinate an AI Champions network across all teams Own and expand AI Office Hours program with participation and adoption metrics Facilitate hands-on workshops and training programs Work with managers to integrate AI into sprint planning and workflows Convert AI skeptics through 1-on-1 sessions showing personalized productivity gains Create "safe failure" environments where engineers can experiment without judgment Document and address common concerns (job security, code quality, learning curve) Design engagement initiatives including challenges, contests, and gamified learning platforms Create success stories and showcase wins Report qualitative and quantitative impact metrics Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Opus by 2x Get notified about new Lead Engineer jobs in Tucson, AZ. Tucson, AZ $78,853 - $236,579 2 months ago Tucson, AZ $125,000.00 - $222,000.00 7 hours ago #J-18808-Ljbffr