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. With Us, You’ll Find

• A firm where everyone belongs:
  Our award-winning culture prioritizes warmth and authenticity — we encourage you to be yourself!
• Enthusiasm for all perspectives:
  We’re smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive.
• Support to feel your best and do your best:
  Wellness is integral to building a successful career and a rich life. That’s why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance.
• Real rewards for real work:
  We offer generous compensation packages that recognize hard work and excellence.

• 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 Dev Ops 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.
• 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.

• 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 Dev Ops 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 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…