Software engineer jobs in Chicago, IL

About the role

In this role, you will drive the hands-on design, development, and execution of AI Quality Engineering initiatives supporting Vizient's enterprise AI transformation efforts. You will design and implement AI Quality Engineering practices, AI validation processes, AI-assisted testing approaches, runtime quality controls, and scalable testing frameworks that support the responsible deployment of AI-powered business solutions. This role combines hands-on quality engineering, AI-enabled testing modernization, healthcare workflow validation, technical mentorship, and cross-functional collaboration. You will help advance Vizient's Quality Engineering capabilities beyond traditional software testing toward AI-native validation, AI-assisted testing, runtime observability, reliability engineering, and modern AI Quality Engineering practices. This position is also incentive eligible. 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.

What you'll bring

• Bachelor's degree in Computer Science,
• 5 or more years of experience in Quality Engineering, Quality Assurance, software testing, enterprise application delivery, technology operations, or related technology functions required.
• 2 or more years of experience providing technical leadership for testing initiatives, automation programs, or enterprise technology delivery projects required.
• Experience supporting Quality Engineering or Quality Assurance across enterprise platforms, APIs, healthcare applications, operational workflows, or integrated business systems required.
• Strong knowledge of software development life cycle (SDLC), Agile methodologies, test automation frameworks, defect management, release validation, and production support processes required.
• Strong analytical, problem-solving, organizational, communication, collaboration, and leadership skills required.
• Demonstrated ability to manage multiple priorities and deliver results within fast-paced, highly collaborative enterprise environments required.
• #LI-JB1
• Relevant degree preferred.
• Advanced degree in Computer Science, Engineering, or a related field highly preferred.
• Experience validating AI-powered applications, intelligent automation, machine learning, large language model (LLM), or AI-enabled business workflows preferred.
• Experience with AI Quality Engineering practices, AI-assisted testing, runtime observability, monitoring, telemetry, or reliability engineering preferred.

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