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McDermott Will & Schulte is building a leading AI QA program in the legal tech space. The AI Solutions QA Analyst will own the full quality lifecycle for AI-powered solutions, from unit tests to system and scalability testing, with a strong emphasis on AI output validation.
You will partner with AI Solutions Analysts and engineering to design test cases using AI tools, implement automated suites in Azure DevOps CI/CD, and translate security guidance into concrete test plans while maintaining
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.
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 must have experience using AI tools (eg. Claude, ChatGPT or other) for the testing lifecycle. AI QA Analyst partners directly with our AI Solutions 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.
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
Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.
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. Base pay is only one part of the Total Rewards that MWE provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.