AI Engineering Lead—Technical Infrastructure

@ Opus

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