at Baylor Scott & White Health in Boise, Idaho, United States Job Description

JOB SUMMARY

• The Quality Engineer, AI & Test Automation helps modernize BSWH's quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and AI-enabled quality practices.
• This role designs, builds, executes, and maintains automated test suites, validation utilities, evaluation assets, and quality reporting that improve release confidence and speed of delivery across digital products, enterprise applications, and AI-enabled use cases.
• The role partners closely with Product, Engineering, Architecture, Data & Analytics, AI Foundation, Ontology, Security, Privacy, Clinical, Operations, and other delivery teams to define quality expectations early and embed quality practices throughout the development lifecycle.
• This role is expected to combine strong testing discipline with technical skills, including automation, API validation, data validation, CI/CD integration, quality metrics, defect triage, and emerging AI-enabled testing practices.
• The Quality Engineer, AI & Test Automation reports to the Director of Quality Engineering and helps establish reusable practices that support safe, reliable, efficient, and scalable delivery.

ESSENTIAL FUNCTIONS OF THE ROLE

Quality Engineering & Test Strategy

• Develop test strategies, test plans, acceptance criteria, and quality approaches for software and AI-enabled capabilities in partnership with Product, Engineering, Architecture, and business stakeholders.
• Translate requirements, user stories, workflows, APIs, data dependencies, and operational expectations into clear test scenarios and quality validation plans.
• Identify quality risks early in the delivery lifecycle and recommend appropriate validation approaches, including automated, manual, exploratory, integration, regression, performance, accessibility, or AI-specific evaluation methods.
• Provide clear release-readiness input based on test evidence, defect trends, quality metrics, risk assessment, and stakeholder expectations. Test Automation & Engineering Practices
• Design, build, maintain, and improve automated test suites for API , UI, integration, end-to-end, regression, data, and workflow validation.
• Integrate automated tests into CI/CD pipelines and delivery workflows so quality signals are available earlier and more consistently throughout the development lifecycle.
• Create reusable test data, utilities, fixtures, scripts, and automation patterns that can be use To view full details and how to apply, please login or create a Job Seeker account