AI-Driven Quality Engineer for Test Automation

Baylor Scott & White Health; Honolulu (HI); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health and welfare benefits

401(k) match

Tuition Reimbursement

PTO accrual Day 1

Job summary

Baylor Scott & White Health is seeking a Quality Engineer focused on AI & Test Automation to modernize quality practices across digital products and AI-enabled use cases. You will build automated test suites, validation utilities, and quality reporting, partnering with Product, Engineering, Data & Analytics, AI Foundation, and other delivery teams.

The role emphasizes testing discipline with automation, API validation, data validation, CI/CD integration, and quality metrics to ensure safe,

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related technical field.
• 5–8+ years of experience in quality engineering, software testing, test automation, SDET, or AI quality.
• Hands-on experience designing automated tests for APIs, web, and data validations.
• Experience with CI/CD, defect triage, test evidence, and quality metrics.
• Exposure to AI-enabled products and regulated-industry contexts preferred.

Responsibilities

• Develop test strategies, plans, acceptance criteria, and quality approaches with stakeholders.
• Design, build, and maintain automated tests for API, UI, integration, data, and AI-enabled use cases.
• Integrate automated tests into CI/CD pipelines to deliver rapid, reliable feedback.
• Evaluate AI-enabled experiences, guardrails, and human-in-the-loop workflows for quality signals.
• Document defects, perform root-cause analysis, and drive continuous improvement.

Skills

Test automation

API testing

CI/CD integration

Data validation

AI quality

Defect triage

Observability

Test design

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Playwright

Cypress

Selenium

Appium

PyTest

Postman/Newman

JUnit

TestNG

Job description

Baylor Scott & White Health is seeking a Quality Engineer focused on AI & Test Automation to modernize quality practices across digital products and AI-enabled use cases. You will build automated test suites, validation utilities, and quality reporting, partnering with Product, Engineering, Data & Analytics, AI Foundation, and other delivery teams.

The role emphasizes testing discipline with automation, API validation, data validation, CI/CD integration, and quality metrics to ensure safe,