AI Solutions QA Analyst

Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work. At McDermott, we don’t just invest in your future, we accelerate your career – wherever it may lead. That includes supporting you both in and outside of the office.

About the role

McDermott, Will & Schulte LLP is building one of the most ambitious AI programs in the legal industry — and quality is not an afterthought. As we deploy AI-powered solutions across legal practices and operational teams, we need someone who can own the full quality lifecycle: from unit tests and edge cases through system testing, performance, and CI/CD pipeline integration. The AI Solutions QA Analyst partners directly with our Analysts and engineering team to ensure every solution we ship is tested, reliable, and production-ready — leveraging AI itself to do it faster and more thoroughly than traditional QA ever could.

• Shape quality standards for an entirely new category of legal AI solutions — from the ground up
• Work with frontier AI tools to build and run tests faster than traditional QA methods allow
• High-visibility role reporting to Director of QA with direct impact on every solution the team ships
• Remote-first, technically rigorous team that takes production quality seriously

Responsibilities

• Own the full QA lifecycle for AI-powered solutions — from unit and integration testing through system, performance, and scalability testing
• Partner with Analysts to generate and evaluate test cases using AI-assisted tools, with particular focus on boundary conditions, edge cases, and AI output validation
• Work with the engineering team to define and integrate automated test suites into the Azure DevOps CI/CD pipeline for each solution
• Define system-level test strategies in collaboration with the Director of QA, covering functional, regression, and non-functional testing requirements
• Coordinate with the dedicated security team to translate security testing guidance into solution-specific security test cases
• Evaluate AI solution reliability across varied inputs — ensuring consistent, predictable behavior under real-world conditions
• Maintain test documentation, defect tracking, and quality metrics that give leadership clear visibility into solution readiness
• Champion a quality culture across the delivery team — making testing a natural part of the development workflow, not a gate at the end

Requirements

• 4+ years of formal QA experience, including writing and executing test scripts across the full testing lifecycle
• Strong experience with unit, integration, system, and regression testing — both manual and automated
• Hands-on experience integrating test suites into CI/CD pipelines; Azure DevOps experience strongly preferred
• Demonstrated ability to design boundary and edge case tests for complex, data-driven applications
• AI fluency — you use AI tools actively and can direct leading AI platforms to generate, evaluate, and refine test cases
• Understanding of performance and scalability testing concepts; experience with load testing tools a plus
• Solid grasp of defect tracking, test documentation, and quality metrics reporting
• Strong analytical thinking — you approach untested AI behavior the way an engineer approaches an unknown system
• BS in Computer Science, Information Systems, Engineering, or equivalent experience

Preferred Qualifications

• Experience testing AI-powered applications — prompt-driven systems, agentic workflows, or LLM-integrated tools
• Familiarity with AI-assisted test generation workflows and code-generating platforms
• Exposure to security testing principles in collaboration with a dedicated security team
• Experience in legal, financial services, or other regulated industry environments
• Knowledge of Azure DevOps, including pipeline configuration and automated test integration

Benefits

• Outstanding career opportunities
• Competitive total rewards package with the opportunity to earn performance-based bonuses
• Comprehensive benefits package supporting physical, emotional, mental, and financial health, with an emphasis on work-life balance

Pay

Target Hiring Range: $93,000 - $142,000. Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location.

Schedule

Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.

Physical Demands and Work Environment

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear
• Employee must occasionally lift up to twenty (20) pounds
• Typical indoor office environment