AI Engineering Lead—Technical Infrastructure

5 days ago

Tucson, Arizona, United States OPUS INSPECTION Full time $120,000 - $180,000 per year

The AI Engineering Lead—Technical Infrastructure 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.

Duties & Responsibilities

Project Scaffolding & Acceleration

  • 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

  • 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

Technical Infrastructure

  • Design and implement centralized AI documentation pipelines
  • Build automated code generation and review systems
  • Create secure AI model integration frameworks
  • Optimize AI infrastructure costs and performance
  • Develop reusable components and starter kits
  • Partner with DevOps to create reliable AI-enhanced CI/CD pipelines

Team Enablement & Culture Building

  • 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
  • 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

Requirements:

Qualifications

  • 3+ years of software development in C#/.NET or similar enterprise environments
  • Active daily user of AI development tools with demonstrated productivity gains
  • Strong communication skills to influence technical and non-technical stakeholders
  • Experience with Git/Azure DevOps and modern development practices
  • Proven ability to learn quickly and adapt to emerging technologies
  • 5+ years of development experience with complex system architecture preferred
  • Deep expertise in REST APIs, service integration, and DevOps automation preferred
  • Experience with AI/ML model deployment and optimization preferred
  • Strong database and data pipeline skills preferred

Pay Transparency In order to support the Fair Compensation Strategy by the US Govt., HR Dept., clients are required to adhere to "Pay Transparency Law"; in the impacted states; that have mandated the employers to list the salary ranges in Job advertisements or postings for job opportunities and Job promotions.

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