AI-Driven Quality Engineer: Test Automation

Baylor Scott & White Health; Dover; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Tuition reimbursement

PTO

Job summary

Baylor Scott & White Health is seeking a Quality Engineer, AI & Test Automation to advance automation-first quality across digital products and AI-enabled use cases. You will design, build, and maintain automated test suites, validation utilities, and quality metrics to accelerate delivery with confidence.

You will collaborate with Product, Engineering, AI teams, Security, and Operations to embed quality early in the lifecycle and improve release-readiness through robust testing patterns and

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field.
• 5–8+ years in quality engineering, software testing, test automation, AI quality, or related roles.
• Experience with CI/CD, API/Web/UI testing, and AI-enabled testing preferred.

Responsibilities

• Develop test strategies, plans, acceptance criteria, and quality approaches for software and AI-enabled capabilities.
• Design, build, maintain, and improve automated test suites for API, UI, integration, and data validation.
• Integrate automated tests into CI/CD pipelines to provide early quality signals.

Skills

Quality engineering

Test automation

API testing

Data validation

CI/CD integration

AI quality testing

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related technical field

Tools

Playwright

Cypress

Selenium

Appium

PyTest

Postman/Newman

JUnit

TestNG

Job description

Baylor Scott & White Health is seeking a Quality Engineer, AI & Test Automation to advance automation-first quality across digital products and AI-enabled use cases. You will design, build, and maintain automated test suites, validation utilities, and quality metrics to accelerate delivery with confidence.

You will collaborate with Product, Engineering, AI teams, Security, and Operations to embed quality early in the lifecycle and improve release-readiness through robust testing patterns and