AI Solutions QA Analyst

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

Job summary

McDermott Will & Schulte is seeking a senior QA lead to own the full QA lifecycle for AI-powered solutions in a remote-first, collaboration-driven environment. You will partner with analysts, work with engineering, and integrate automated tests into Azure DevOps CI/CD pipelines to ensure robust, scalable software.

Strong focus on AI testing, boundary conditions, and security test alignment. Ideal candidates bring 4+ years in QA across full testing lifecycles, experience with CI/CD, and a BS in

Qualifications

• 4+ years of formal QA experience across the full testing lifecycle with both manual and automated testing.
• Strong experience in unit, integration, system, and regression testing.
• Hands-on experience integrating test suites into CI/CD pipelines; Azure DevOps preferred.
• AI fluency to generate, evaluate, and refine test cases for AI-enabled apps.
• Understanding of performance and scalability testing concepts; load testing a plus.
• Solid defect tracking, test documentation, and quality metrics reporting.
• BS in Computer Science, Information Systems, Engineering, or equivalent.
• Experience testing AI-powered applications and familiarity with AI-assisted test generation workflows.

Responsibilities

• Own the full QA lifecycle for AI-powered solutions — from unit testing to scalability testing.
• Partner with analysts to generate and evaluate test cases using AI-assisted tools.
• Integrate automated test suites into the Azure DevOps CI/CD pipeline for each solution.
• Define system-level test strategies with the Director of QA for functional, regression and non-functional testing.
• Coordinate with the security team to translate security testing guidance into test cases.
• Evaluate AI solution reliability across varied inputs and real-world conditions.
• Maintain test documentation, defect tracking, and quality metrics for leadership visibility.
• Champion a quality culture within the delivery team and ensure testing is integrated into development.

Skills

QA testing

Unit testing

Automation testing

Azure DevOps

AI testing

Performance testing

Defect tracking

Test documentation

Edge case testing

Education

BS in Computer Science / Information Systems / Engineering

Tools

Azure DevOps

Load testing tools

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

• 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.
• 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 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.
• 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.

Physical Demands And Work Environment

• The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• 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.

Other Information

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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.