QA Automation Engineer - Agentic AI, UI, and API

Vizient, Inc.; Irving (TX); On-site; USD 102,000 - 179,000; Full time

Job summary

Vizient, Inc. is seeking an AI Quality Engineer to design and execute quality strategies for AI-powered applications and integrated platforms.

You will develop scalable automation, implement AI validation, and collaborate across engineering, security, data, and clinical teams to ensure reliable software delivery. The role focuses on nondeterministic AI behavior, telemetry-driven quality, and production validation, with opportunities to mentor engineers and contribute to responsible AI practices

Qualifications

• Design and execute quality engineering strategies for AI-powered applications.
• Develop scalable test automation frameworks and reusable accelerators.
• Implement AI validation across functional, prompt and integration tests.
• Address nondeterministic AI behavior and evolving healthcare workflows.
• Support runtime quality via telemetry, observability, and monitoring.
• Collaborate across engineering, AIOps, security, data, and clinical teams.
• Coordinate test execution, defect management and release validation.
• Evaluate tooling to improve scalability, reliability and traceability.
• Mentor quality engineers and promote continuous learning.
• Communicate risks and findings to technical and business stakeholders.

Responsibilities

• Design and execute quality engineering strategies for AI-powered applications.
• Develop scalable test automation frameworks, reusable testing accelerators, validation processes, and automated workflows.
• Implement AI validation approaches across functional, prompt, workflow, integration, regression, and human-in-the-loop testing.
• Advance AI-assisted testing and modern quality engineering practices addressing nondeterministic AI behavior.
• Support runtime quality via telemetry, observability, monitoring, drift detection, and production validation.
• Collaborate with engineering, AIOps, LLMOps, security, governance, data, clinical, and operational teams.
• Coordinate test execution, defect management, release validation, risk identification, and production support.
• Evaluate and implement testing, automation, observability, and AI quality engineering tools.
• Mentor quality engineers and analysts with guidance on automation practices.
• Communicate quality risks and findings to technical and business clients.

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Responsibilities:

• Design and execute quality engineering strategies for AI-powered applications, agentic AI systems, user interfaces, APIs, LLM-enabled workflows, intelligent automation, and integrated enterprise platforms.
• Develop scalable test automation frameworks, reusable testing accelerators, validation processes, and automated workflows that improve quality, efficiency, and test coverage.
• Implement AI validation approaches, including functional, prompt, workflow, integration, regression, and human-in-the-loop testing, along with validation datasets and quality evaluation methods.
• Advance AI-assisted testing and modern quality engineering practices that address nondeterministic AI behavior, intelligent orchestration, and evolving healthcare workflows.
• Support runtime quality and reliability through telemetry, distributed tracing, observability, monitoring, drift detection, incident analysis, and production validation.
• Collaborate with engineering, AIOps, LLMOps, security, governance, data, clinical, and operational clients to integrate quality practices throughout the software and AI development lifecycle.
• Coordinate test execution, defect management, release validation, risk identification, and production support activities across AI-enabled solutions.
• Evaluate and implement testing, automation, observability, and AI quality engineering tools and technologies that improve scalability, reliability, and traceability.
• Mentor quality engineers and analysts by providing technical guidance, sharing automation practices, and fostering continuous learning and engineering discipline.
• Communicate quality risks, technical findings, implementation dependencies, and recommendations to technical and business clients while promoting continuous improvement and responsible AI adoption.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.