Sr. AI Quality Engineer

An industry-leading provider of essential jobsite services, equipment rentals, and operational site solutions is seeking a Senior AI Quality Engineer to join its growing internal technology organization. Supporting contractors and construction professionals nationwide, the company has spent more than two decades building a reputation around reliability, responsiveness, and operational excellence while simultaneously investing heavily in modern software engineering and cloud-native innovation. This full-time, on-site role offers the opportunity to work with technologies including Azure, .NET WebAssembly, event-driven architecture, AI-assisted engineering workflows, and intelligent operational systems. This is not a traditional QA role focused solely on manual testing or maintaining legacy automation suites. The team is looking for someone who understands where software quality is headed - an engineer excited about leveraging AI to improve testing strategies, automate repetitive workflows, increase visibility across distributed systems, and help engineering teams release software with greater speed and confidence. You'll collaborate directly with architects, developers, and leadership teams while helping shape how AI-assisted testing and intelligent automation become foundational parts of the engineering culture. If you enjoy breaking systems, building scalable automation frameworks, and experimenting with emerging AI tooling in real-world enterprise environments, this is an opportunity to make a highly visible impact. Required Skills & Experience 5+ years of professional QA or Quality Engineering experience Strong understanding of manual testing methodologies and modern automation practices Experience building and maintaining automated testing frameworks Hands-on experience with Playwright, Cypress, Selenium, and

REST/API

testing tools Strong Azure cloud experience Advanced SQL/database knowledge including joins, validation, reconciliation, and performance analysis Experience working within CI/CD pipelines and Azure DevOps environments Familiarity with AI-assisted engineering and testing tools such as GitHub Copilot, ChatGPT, or AI-driven test generation platforms Strong understanding of SDLC, Agile/Scrum methodologies, and release management Experience validating APIs, web applications, cloud services, and enterprise platforms Comfortable working full-time on-site in Peachtree Corners, GA What You Will Be Doing Tech Breakdown 40% Automated Testing & Intelligent QA Workflows 25% Azure Cloud Validation & CI/CD 20% SQL/Data Validation & Platform Analysis 15% AI-Assisted Quality Engineering & Process Optimization You will receive the following benefits: Medical, Dental, and Vision Insurance 401(k) with Company Match Paid Vacation & Holidays Career Growth Within a Modern Cloud & AI Engineering Environment Exposure to Emerging AI Engineering Technologies & Enterprise Architecture Initiatives Applicants must be currently authorized to work in the US on a full-time basis now and in the future.