We are seeking a Senior AI Test Automation Engineer with expertise in Python and a strong understanding of AI technologies to join our team. The ideal candidate will have hands-on experience with AI platforms such as Azure OpenAI, AWS SageMaker, and Deepval, along with expertise in BDD frameworks (Cucumber), test automation tools (Cypress, Playwright), and CI/CD integration. This role requires designing, developing, and executing automated test scripts to ensure the reliability and efficiency of AI-driven applications.
Key Responsibilities
Develop and implement AI-driven test automation strategies for complex systems.
Design, build, and maintain robust test automation frameworks using Python and BDD methodologies.
Work with AI technologies such as Azure OpenAI, AWS SageMaker, and Deepval to validate AI models and services.
Develop, execute, and maintain automated test scripts using Cucumber, Cypress, and Playwright.
Integrate automated tests into CI/CD pipelines to enhance software release cycles.
Collaborate with AI engineers, developers, and product teams to ensure test coverage and quality.
Conduct performance, security, and API testing for AI-powered applications.
Investigate and troubleshoot test failures and defects, providing detailed analysis and recommendations.
Stay updated with the latest AI trends, testing tools, and automation best practices.
Required Qualifications
Bachelor or Master degree in Computer Science, Engineering, or a related field.
6+ years of experience in test automation, with a focus on AI-based applications.
Proficiency in Python for developing automated test scripts.
Hands-on experience with AI technologies such as Azure OpenAI, AWS SageMaker, and Deepval.
Strong knowledge of BDD methodologies and tools such as Cucumber.
Experience with test automation tools like Cypress and Playwright.
Expertise in API testing and automation frameworks.
Familiarity with CI/CD pipelines and DevOps best practices.
Strong problem-solving skills with a keen attention to detail.
Excellent communication and collaboration skills.
Preferred Qualifications
Experience with ML model validation and AI bias testing.
Knowledge of cloud-based AI solutions and services.
Familiarity with containerization tools such as Docker and Kubernetes.
Understanding of security testing for AI-driven applications.
Experience with version control tools like Git/GitHub/GitLab.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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