AI Solutions QA Analyst
Job Description
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
What You'll Do
- 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
- Coincide 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
What You Bring
- 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
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
Preferred 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
Target Hiring Range
$93,000 - $142,000
Physical Demands And Work Environment
- Sit, use hands, reach with hands and arms, stoop, talk and hear
- Occasionally lift up to twenty (20) pounds
- Typical indoor office environment
Disclaimer
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.