Role Description
McDermott, Will & Schulte LLP is building one of the most ambitious AI programs in the legal industry β 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:
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From unit tests and edge cases through system testing, performance, and CI/CD pipeline integration.
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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 β leveraging AI itself to do it faster and more thoroughly than traditional QA ever could.
WHY MWS:
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Shape quality standards for an entirely new category of legal AI solutions β from the ground up.
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Work with frontier AI tools to build and run tests faster than traditional QA methods allow.
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High-visibility role reporting to Director of QA with direct impact on every solution the team ships.
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Remote-first, technically rigorous team that takes production quality seriously.
WHAT YOU'LL DO:
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Own the full QA lifecycle for AI-powered solutions β from unit and integration testing through system, performance, and scalability testing.
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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.
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Work with the engineering team to define and integrate automated test suites into the Azure DevOps CI/CD pipeline for each solution.
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Define system-level test strategies in collaboration with the Director of QA, covering functional, regression, and non-functional testing requirements.
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Coordinate with the dedicated security team to translate security testing guidance into solution-specific security test cases.
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Evaluate AI solution reliability across varied inputs β ensuring consistent, predictable behavior under real-world conditions.
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Maintain test documentation, defect tracking, and quality metrics that give leadership clear visibility into solution readiness.
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Champion a quality culture across the delivery team β making testing a natural part of the development workflow, not a gate at the end.
Qualifications
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4+ years of formal QA experience, including writing and executing test scripts across the full testing lifecycle.
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Strong experience with unit, integration, system, and regression testing β both manual and automated.
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Hands-on experience integrating test suites into CI/CD pipelines; Azure DevOps experience strongly preferred.
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Demonstrated ability to design boundary and edge case tests for complex, data-driven applications.
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AI fluency β you use AI tools actively and can direct leading AI platforms to generate, evaluate, and refine test cases.
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Understanding of performance and scalability testing concepts; experience with load testing tools a plus.
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Solid grasp of defect tracking, test documentation, and quality metrics reporting.
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Strong analytical thinking β you approach untested AI behavior the way an engineer approaches an unknown system.
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BS in Computer Science, Information Systems, Engineering, or equivalent experience.
Requirements
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Experience testing AI-powered applications β prompt-driven systems, agentic workflows, or LLM-integrated tools.
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Familiarity with AI-assisted test generation workflows and code-generating platforms.
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Exposure to security testing principles in collaboration with a dedicated security team.
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Experience in legal, financial services, or other regulated industry environments.
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Knowledge of Azure DevOps, including pipeline configuration and automated test integration.
Benefits
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Outstanding career opportunities.
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Competitive total rewards package with the opportunity to earn performance-based bonuses.
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Target Hiring Range $93,000 - $142,000.
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Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location.
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Full-time positions are eligible for a discretionary bonus and a comprehensive benefits package.
Physical Demands and Work Environment
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While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear.
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Employee must occasionally lift up to twenty (20) pounds.
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Typical indoor office environment.