AI Solutions QA Analyst

MWE • Washington, DC

9d • $93,000 - $142,000 • Hybrid

About The Position

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.

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

Nice To Haves

• 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

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

Benefits

• Competitive total rewards package
• Opportunity to earn performance-based bonuses
• Discretionary bonus
• Comprehensive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level