AI QA Lead

About the project

This role challenges you to rethink traditional testing methods and lead Glorium Technologies' QA function towards an AI-first approach. Your responsibilities include:

• Own the QA strategy end-to-end and evolve it into an AI-first quality system that scales with the product.
• Drive AI-assisted and self-healing test automation, replacing manual workflows with automated pipelines.
• Lead quality assurance across healthcare SaaS workflows, ensuring correctness of clinical data flows and compliance with HIPAA and GDPR.
• Mentor the QA team on AI tooling, prompt engineering, and automation thinking, shifting both mindset and toolset.

Requirements

Qualifications include:

• 6–8+ years in QA or Quality Engineering, with a proven track record of strategic leadership.
• Experience integrating AI into the testing lifecycle, including automated test case generation, self-healing scripts, and LLM-assisted log analysis.
• Expert-level proficiency with modern automation frameworks such as Playwright, Cypress, or Selenium, with strong CI/CD integration skills.
• Comfortable working with observability tools like Datadog, OpenTelemetry, or similar to analyze system behavior and surface quality signals.
• Familiarity with healthcare data standards and compliance requirements, including handling synthetic PII and masking techniques.
• A core reliance on AI tools for test design, synthetic data generation, and prompt optimization, not just for writing faster code.