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About the role
As an AI Test Automation Engineer at an industry leading HealthCare Science Innovator, you will be responsible for integrating AI capabilities with state-of-the-art test automation technologies and developing AI-driven test solutions for clinical development teams within LabCorp. Your role will involve contributing to science and innovation developments, including enterprise web service, web application, mobile solution, and other software testing for continuous testing and continuous delivery. Responsibilities: - Develop AI-driven test agents to automate routine testing tasks such as test case generation, documentation, and scripting. - Implement automation frameworks for testing AI models and software components. - Integrate test automation solutions into existing automation frameworks. - Design and develop automated test scripts using open-source tools and frameworks. - Identify, analyze, and document defects in AI models and software applications. - Collaborate with developers and data scientists to ensure AI algorithms meet quality standards. - Monitor and troubleshoot AI system performance to improve accuracy and efficiency. - Integrate security testing into the automation framework to identify vulnerabilities in AI systems. - Conduct penetration testing to assess security risks in AI-powered applications. - Ensure compliance with security standards and best practices for AI models and software. - Stay updated on industry trends and advancements in AI testing methodologies and cybersecurity. Requirements: - Bachelor's degree in computer science or equivalent. - Minimum 10 years of experience in QA test automation development. - Proficiency in programming languages such as C#, Java, or Python. - Hands-on experience with test automation tools like Selenium, TestNG, Junit, Playwright, or equivalent. - Strong knowledge of AI/ML concepts, particularly LLMS and Gen AI testing frameworks and techniques. - Experience working with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps. - Understanding of security testing methodologies, including penetration testing and vulnerability assessments. - Experience with web application, mobile app, cloud platforms (AWS, Azure, or Google Cloud) for AI model deployment and testing. - Strong experience with testing reliability and accuracy of synchronous APIs by verifying request-response interactions and asynchronous APIs. - Deep knowledge of user story to test case translation with methods like Gherkin/Cucumber or equivalent. - Ability to quickly grasp and distill highly complex user design issues into clean, understandable solutions. - Flourish in a fast-paced, iterative, deadline-driven environment. - Strong communication and organizational skills are critical to success among this company of talented individuals. Labcorp is proud to be an Equal Opportunity Employer, striving for inclusion and belonging in the workforce without tolerating harassment or discrimination of any kind. Qualified applicants will receive consideration for employment based on business needs and individual qualifications and merit. Labcorp encourages all individuals to apply and provides assistance for applicants with disabilities who need help using online tools or require accommodations. For more information on Labcorp's privacy practices, please refer to the Privacy Statement. As an AI Test Automation Engineer at an industry leading HealthCare Science Innovator, you will be responsible for integrating AI capabilities with state-of-the-art test automation technologies and developing AI-driven test solutions for clinical development teams within LabCorp. Your role will involve contributing to science and innovation developments, including enterprise web service, web application, mobile solution, and other software testing for continuous testing and continuous delivery. Responsibilities: - Develop AI-driven test agents to automate routine testing tasks such as test case generation, documentation, and scripting. - Implement automation frameworks for testing AI models and software components. - Integrate test automation solutions into existing automation frameworks. - Design and develop automated test scripts using open-source tools and frameworks. - Identify, analyze, and document defects in AI models and software applications. - Collaborate with developers and data scientists to ensure AI algorithms meet quality standards. - Monitor and troubleshoot AI system performance to improve accuracy and efficiency. - Integrate security testing into the automation framework to identify vulnerabilities in AI systems. - Conduct penetration testing to assess security risks in AI-powered applications. - Ensure compliance with security standards and best practices for AI models and software. - Stay updated on industry trends and advancements in AI testing methodologies and cybersecurity. Requirements: - Bachelor's degree in computer science or equivalent. - Minimum 10 y
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