Global Payments Inc.

Lead QA Engineer, Artificial Intelligence

Global Payments Inc.

full-time

Posted on:

Location Type: Remote

Location: Oklahoma • Texas • United States

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Job Level

Senior

Tech Stack

DockerJenkinsKubernetesPythonPyTorchScikit-LearnTensorflow

About the role

  • Develop and implement QA strategies tailored for AI/ML solutions, including models, APIs, pipelines, and agent-based architectures.
  • Create and maintain automated and manual test cases for model validation (accuracy, bias, robustness, explainability, drift).
  • Collaborate with AI engineers, data scientists, and product teams to define success criteria, acceptance standards, and performance metrics.
  • Validate model outputs and system behaviors against business and ethical guidelines.
  • Perform regression, integration, stress, and adversarial testing of AI models and systems.
  • Identify, log, and track bugs and anomalies, ensuring timely resolutions.
  • Support monitoring production AI systems to detect model performance degradation (concept drift, data drift, hallucinations).
  • Ensure compliance with internal AI governance standards, responsible AI principles, and regulatory requirements.
  • Contribute to building automated AI testing frameworks, pipelines, and synthetic data generation systems.
  • Document testing procedures, results, and quality assessments clearly and effectively.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Minimum 6 years of experience in quality assurance, specifically testing AI/ML applications.
  • Hands-on skills with Python and relevant AI/QA libraries (Pytest, Unittest, Great Expectations, MLflow, Deepchecks, etc.).
  • Familiarity with machine learning frameworks (TensorFlow, PyTorch, or scikit-learn).
  • Experience with test automation tools and frameworks.
  • Knowledge of CI/CD tools (Jenkins, GitLab CI, or similar).
  • Experience with containerization technologies like Docker and orchestration systems like Kubernetes.
  • Familiarity with version control systems like Git.
  • Strong understanding of software testing methodologies and best practices.
  • Excellent analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonautomated testingmanual testingmodel validationregression testingintegration testingstress testingadversarial testingAI/ML applicationssoftware testing methodologies
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaboration skills
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering