AI-Powered QA Automation Engineer

RXinsider LTD.

Edina, Northern (MN, KY)

Hybrid

USD 102,000 - 179,000

Full time

3 days ago
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Job summary

Vizient is seeking an experienced Quality Engineer to design and lead QA strategies for AI-powered applications and AI-enabled workflows. You will develop scalable test automation frameworks, AI validation methods, and ensure production reliability through telemetry, tracing, and observability.

You will collaborate across engineering and clinical teams to integrate quality throughout the software and AI lifecycle.

Qualifications

  • Experience designing QA strategies for AI-powered applications.
  • Ability to develop scalable test automation frameworks.
  • Knowledge of AI validation and monitoring practices.

Responsibilities

  • Design and execute quality engineering strategies for AI-powered applications and AI-enabled workflows.
  • Develop scalable test automation frameworks and validation processes.
  • Implement AI validation approaches including functional, regression, and human-in-the-loop testing.
  • Advance quality engineering practices addressing nondeterministic AI behavior and reliability.
  • Support runtime quality through telemetry, tracing, observability, and production validation.
  • Collaborate with cross-functional teams to integrate quality throughout the software and AI lifecycle.
  • Coordinate test execution, defect management, release validation, and production support.
  • Evaluate testing tools and technologies to improve scalability and traceability.
  • Mentor quality engineers and communicate risks and findings to stakeholders.

Skills

Quality engineering
Test automation
Telemetry
Observability
AI validation
Mentoring

Job description

Vizient is seeking an experienced Quality Engineer to design and lead QA strategies for AI-powered applications and AI-enabled workflows. You will develop scalable test automation frameworks, AI validation methods, and ensure production reliability through telemetry, tracing, and observability.

You will collaborate across engineering and clinical teams to integrate quality throughout the software and AI lifecycle.

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