Remote AI QA Analyst - AI-Powered Solutions

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

Benefits offered by this job

Discretionary bonus

Total rewards package

Job summary

McDermott Will & Schulte LLP is building one of the most ambitious AI programs in the legal industry and seeks an AI Solutions QA Analyst to own the full quality lifecycle.

You will partner with Analysts and engineers to define test strategies, implement AI-assisted test generation, integrate test suites into the Azure DevOps CI/CD pipeline, and drive quality metrics across solutions.

Qualifications

• 4+ years of formal QA experience across full testing lifecycle.
• Strong experience with unit, integration, system, and regression testing—manual & automated.
• Hands-on experience integrating test suites into CI/CD pipelines, Azure DevOps preferred.
• AI fluency; ability to direct AI platforms to generate and refine tests.
• Understanding of performance and scalability testing concepts; load testing is a plus.

Responsibilities

• Own the full QA lifecycle for AI-powered solutions from unit/integration to system, performance, and scalability testing.
• Partner with Analysts to generate/evaluate test cases using AI-assisted tools, focusing on boundary conditions and AI output validation.
• Work with engineers to define and integrate automated test suites into the Azure DevOps CI/CD pipeline for each solution.
• Define system-level test strategies covering functional, regression, and non-functional testing requirements.
• Coordinate with security team to translate security guidance into test cases.

Skills

QA lifecycle

Unit testing

Automation testing

Azure DevOps

AI testing

Education

Bachelor's degree in CS/IS/Engineering

Tools

Azure DevOps

Job description

McDermott Will & Schulte LLP is building one of the most ambitious AI programs in the legal industry and seeks an AI Solutions QA Analyst to own the full quality lifecycle.

You will partner with Analysts and engineers to define test strategies, implement AI-assisted test generation, integrate test suites into the Azure DevOps CI/CD pipeline, and drive quality metrics across solutions.