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AI Engineering Lead - Technical Infrastructure

Opus

Tucson, Arizona, United StatesOn Site

Original Job Summary

Role Overview

The AI Engineering Lead - Technical Infrastructure will drive Opus' transformation into an AI-augmented engineering powerhouse. This role shapes how 40+ engineers leverage AI to modernize legacy systems, accelerate development, and deliver breakthrough innovations.

Duties & Responsibilities

Project Scaffolding & Acceleration

  • Execute sprint-based rapid interventions (1-2 week sprints) to modernize legacy codebases.
  • Deploy rapid engagements for high-impact opportunities identified by product management.
  • Create comprehensive hand-off packages including architecture diagrams, test suites, and AI-ready documentation.
  • Serve as an "AI pair programmer" trainer for 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.
  • Prototype AI-powered features like fraud detection, intelligent reporting, and NLP-based automation.
  • Own company-wide AI models, platforms, and tools inventory.
  • Develop AI capabilities for customer engagement, analytics, and operational excellence.
  • 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.
  • Collaborate with DevOps for reliable AI-enhanced CI/CD pipelines.

Team Enablement & Culture Building

  • Create role-specific training materials for engineering disciplines.
  • Build and maintain a library of prompts, templates, and best practices.
  • Establish and coordinate an AI Champions network across teams.
  • Own and expand the AI Office Hours program with measurable participation.
  • Facilitate 1-on-1 sessions to convert AI skeptics with personalized productivity gains.
  • Design engagement initiatives including challenges, contests, and gamified learning platforms.

Qualifications

  • 3+ years of software development in C#/.NET or similar enterprise environments.
  • Active daily user of AI development tools with proven productivity gains.
  • Strong communication skills to influence both 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.

Key skills/competency

  • AI
  • Engineering
  • Technical Infrastructure
  • C#
  • .NET
  • DevOps
  • Automation
  • Legacy Modernization
  • Documentation
  • CI/CD

How to Get Hired at Opus

🎯 Tips for Getting Hired

  • Research Opus's culture: Review mission and recent tech initiatives online.
  • Customize your resume: Highlight AI and C# expertise.
  • Emphasize sprint experience: Showcase rapid development projects.
  • Prepare for technical interviews: Brush up on DevOps and legacy code transformation.

📝 Interview Preparation Advice

Technical Preparation

Review C#/.NET and legacy code strategies.
Practice sprint-based rapid code interventions.
Learn AI/ML model deployment tactics.
Understand CI/CD and DevOps integrations.

Behavioral Questions

Describe past rapid sprint experiences.
Explain handling legacy system challenges.
Discuss teamwork under pressure.
Demonstrate mentoring and influence skills.