Lead Architect, AI Quality Engineering

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.

AI Quality Engineering Architecture & Workflow Optimization

• Lead architecture and technical implementation of AI Quality Engineering solutions supporting AI-powered applications, LLM-enabled workflows, intelligent automation solutions, agentic systems, and enterprise AI platforms.
• Design and implement scalable AI validation frameworks, AI-assisted testing approaches, runtime quality controls, reusable testing accelerators, and workflow optimization capabilities supporting enterprise AI delivery initiatives.
• Support modernization of traditional Quality Engineering practices through intelligent automation, workflow orchestration, and scalable quality engineering patterns.
• Develop automated validation approaches, anomaly detection processes, testing pipelines, and quality metrics supporting governance-aligned AI deployment practices.
• Design and optimize human-in-the-loop validation workflows, operational review processes, and AI quality assurance controls supporting reliable and scalable AI-enabled systems.
• Partner with engineering and business teams to identify operational bottlenecks, workflow optimization opportunities, automation use cases, and scalable quality engineering improvements.

AI Validation, Runtime Assurance & Automation

• Support AI validation activities, including prompt testing, workflow testing, regression testing, runtime quality assurance, and production reliability support.
• Partner with AI Engineering, AIOps, LLMOps, Security, Governance, Clinical, and Data teams to support scalable AI Quality Engineering and workflow automation processes across enterprise AI initiatives.
• Design and support runtime quality practices, including telemetry alignment, monitoring coordination, validation processes, and runtime reliability improvement efforts.
• Drive adoption of AI-assisted testing approaches, intelligent automation, reusable testing accelerators, and orchestration-aware testing practices.
• Support observability and runtime visibility initiatives improving reliability, traceability, and confidence across AI-enabled systems.
• Collaborate with Clinical, Operational, and Engineering stakeholders to support validation of healthcare workflows, operational processes, and AI-enabled business solutions.

Technical Enablement, Delivery & Operational Support

• Support delivery coordination activities across AI Quality Engineering and workflow optimization initiatives, including implementation planning, issue tracking, operational support, and release coordination activities.
• Partner with stakeholders to evaluate implementation readiness, workflow dependencies, operational risks, automation opportunities, and quality considerations for AI initiatives.
• Support tooling evaluations, automation frameworks, orchestration tooling, and modernization initiatives supporting AI Quality Engineering maturity.
• Help establish reusable workflow automation patterns, scalable testing assets, and engineering enablement practices across delivery teams.
• Support adoption of modern AI Quality Engineering and workflow optimization practices across engineering and business organizations.

Leadership, Collaboration & Continuous Improvement

• Lead and mentor engineers, analysts, contractors, and delivery teams while fostering a collaborative, continuously learning, and engineering-focused culture.
• Communicate implementation risks, workflow optimization opportunities, technical tradeoffs, and operational recommendations to technical and business stakeholders.
• Promote engineering discipline, continuous improvement, responsible AI adoption, and operational accountability across AI Quality Engineering initiatives.

Research and evaluate emerging AI quality engineering, workflow automation, observability, and runtime assurance technologies supporting continuous improvement initiatives.

Estimated Hiring Range:

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.