3 days ago
Chicago, IL, USA +2 moreSenior
Base Salary
$102k - $179k/yr
Responsibilities
- Design, develop, and execute AI Quality Engineering strategies for AI-powered applications, LLM solutions, intelligent automation, agentic systems, and enterprise AI platforms.
- Build scalable AI-native testing practices, validation processes, runtime quality controls, reusable testing accelerators, and automated testing frameworks.
- Lead functional, prompt, workflow, regression, release, runtime quality assurance, and production reliability testing.
- Develop AI evaluation frameworks, validation datasets, quality scoring methodologies, and automated testing workflows.
- Support runtime reliability through observability, telemetry, distributed tracing, monitoring, drift detection, incident response, and operational quality assurance.
- Validate healthcare workflows, payer operations, clinical processes, and AI-enabled business workflows using responsible AI and human-in-the-loop practices.
- Coordinate testing across Agile delivery teams, including test execution, defect management, issue tracking, release readiness, risk identification, and production support.
- Mentor Quality Engineers and provide technical guidance on AI-enabled testing modernization and Quality Engineering practices.
- Research and recommend emerging AI Quality Engineering, testing automation, observability, and runtime assurance technologies.
Requirements
- Bachelor's degree in Computer Science and 5 or more years of experience in Quality Engineering, Quality Assurance, software testing, enterprise application delivery, technology operations, or related technology functions.
- 2 or more years of experience providing technical leadership for testing initiatives, automation programs, or enterprise technology delivery projects.
- Experience supporting Quality Engineering or Quality Assurance across enterprise platforms, APIs, healthcare applications, operational workflows, or integrated business systems.
- Strong knowledge of software development life cycle, Agile methodologies, test automation frameworks, defect management, release validation, and production support processes.
- Experience validating AI-powered applications, intelligent automation, machine learning, LLMs, or AI-enabled business workflows is preferred.
- Experience with AI Quality Engineering, AI-assisted testing, runtime observability, monitoring, telemetry, or reliability engineering is preferred.
- Experience in healthcare technology, payer operations, clinical workflows, or regulated industries supporting AI governance and responsible AI deployment is preferred.
- An advanced degree in Computer Science, Engineering, or a related field is highly preferred.
- Strong analytical, problem-solving, organizational, communication, collaboration, and leadership skills, with the ability to manage multiple priorities in an enterprise environment.
Benefits
- Comprehensive benefits plan.
- The position is incentive eligible.
- Geographic factors may adjust the estimated salary range, and hires typically fall below the top of the range.
Categories
About Vizient
Vizient provides healthcare performance improvement solutions to U.S. hospitals and health systems, combining a group purchasing organization with clinical, operational, and financial analytics and advisory services. Members access a national contract portfolio representing about $156 billion in annual purchasing volume and benchmarking data drawn from extensive provider networks. Headquartered in Irving, Texas, the privately held company serves more than two-thirds of U.S. acute care providers and acquired Kaufman Hall in 2024.