AI Solutions QA Analyst

McDermott Will & Schulte; Dallas (TX); Remote; USD 93,000 - 142,000; Full time

Benefits offered by this job

Remote-first team

Competitive total rewards package

Performance-based bonuses

Direct impact on product quality

Job summary

McDermott Will & Schulte is seeking an AI QA Analyst to own the full QA lifecycle for AI-powered solutions. You will partner with AI analysts and engineers to design tests, validate AI outputs, and ensure production readiness in a remote-first environment.

You will define test strategies, write and execute automated and manual tests, and integrate tests into the Azure DevOps CI/CD pipeline. Strong analytical skills and a CS/Eng degree are required.

Qualifications

• 4+ years of formal QA experience with test script execution.
• Experience with unit, integration, system and regression testing (manual & automated).
• Hands-on experience integrating test suites into CI/CD pipelines; Azure DevOps preferred.
• BS in Computer Science, Information Systems, Engineering, or equivalent experience.

Responsibilities

• Own the full QA lifecycle for AI-powered solutions from unit to system testing.
• Create and evaluate test cases using AI-assisted tools with focus on edge cases.
• Collaborate with engineering to integrate automated test suites into the Azure DevOps CI/CD pipeline.
• Define system-level test strategies covering functional, regression, and non-functional testing.
• Coordinate with security team to translate testing guidance into security test cases.
• Evaluate AI solution reliability under varied real-world inputs.
• Maintain test documentation, defect tracking, and quality metrics for leadership visibility.
• Champion a quality culture across the delivery team.

Skills

AI testing

QA engineering

CI/CD pipelines

Azure DevOps

Boundary testing

Performance testing

Defect tracking

Analytical thinking

Test documentation

Education

BS in Computer Science / Information Systems / Engineering

Tools

Azure DevOps

Job description

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.

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 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.

Why Mws

• 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

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

What You Bring

• AI fluency — you use AI tools actively and can direct leading AI platforms to generate, evaluate, and refine test cases
• 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
• 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 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

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.

Physical Demands And Work Environment

• While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear
• Employee must occasionally lift up to twenty (20) pounds

Physical Demands

• While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear
• Employee must occasionally lift up to twenty (20) pounds

Work Environment

Typical indoor office environment

Disclaimer

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.