Remote AI Solutions QA Lead

McDermott Will & Schulte

Palo Alto (CA)

Remote

USD 93,000 - 142,000

Full time

2 days ago
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Benefits offered by this job

Remote-first team
Competitive total rewards package

Job summary

McDermott Will & Schulte LLP is seeking an AI Solutions QA Analyst to own the full QA lifecycle for AI-powered solutions, from unit tests to scalability testing. You will partner with Analysts to generate test cases using AI tools and integrate automated suites into the Azure DevOps CI/CD pipeline, ensuring robust, production-ready quality.

The role emphasizes boundary testing, data-driven AI validation, and collaboration with security teams to define test strategies.

Qualifications

  • 4+ years of formal QA experience and testing across full lifecycle.
  • Experience designing boundary and edge-case tests for complex AI-driven apps.
  • Hands-on experience integrating test suites into CI/CD pipelines with a preferred Azure DevOps background.

Responsibilities

  • Own the full QA lifecycle for AI-powered solutions, from unit to scalability testing.
  • Partner with Analysts to generate and evaluate test cases using AI tools.
  • 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.
  • 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 across the delivery team.

Skills

QA Automation
CI/CD
Azure DevOps
AI testing
Test strategy
Boundary testing
Data-driven testing
Analytical thinking
Communication

Education

BS in Computer Science/Info Systems/Engineering

Tools

Azure DevOps
Load testing tools

Job description

McDermott Will & Schulte LLP is seeking an AI Solutions QA Analyst to own the full QA lifecycle for AI-powered solutions, from unit tests to scalability testing. You will partner with Analysts to generate test cases using AI tools and integrate automated suites into the Azure DevOps CI/CD pipeline, ensuring robust, production-ready quality.

The role emphasizes boundary testing, data-driven AI validation, and collaboration with security teams to define test strategies.

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