Quality Engineer (AI Automation)

About the Role

We are seeking a creative and hands-on Quality Engineer to be a key contributor to our quality practice. This opportunity involves moving beyond traditional QA to focus on AI-driven testing for mission-critical intelligent applications.

Key Responsibilities

• Design, develop, and maintain test automation frameworks using Java and Python.
• Write clean, efficient, and scalable automation scripts for new features.
• Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks.
• Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability.
• Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off.
• Track and report testing progress using tools such as JIRA, ADO, or ALM.
• Understand CI/CD concepts.
• Implement and execute test plans for AI/ML applications: Support QA activities and certify the quality of AI-powered systems, including hands-on testing of chatbots for intent recognition, conversational flow, response accuracy, and edge case handling.
• Leverage modern AI tools to enhance workflow, such as AI code assistants (GitHub Copilot) and generative AI for test data creation and bug report summarization.
• Ensure AI reliability and fairness by executing test cases to identify issues related to bias, fairness, and model robustness.

Requirements & Tech Stack

• Java
• Python
• Postman
• Rest Assured
• SQL
• JIRA (or similar defect management tools)
• CI/CD concepts and tools (e.g., Jenkins, GitLab, GitHub Actions)
• Hybrid Automation frameworks
• AI/ML applications (e.g., chatbots)
• Performance testing tools (e.g., JMeter, Gatling)
• Cloud platforms (e.g., AWS, Azure, or GCP)
• Containerization (e.g., Docker)
• AI code assistants (e.g., GitHub Copilot)

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 0 – 1 years of professional experience in a Quality Assurance or Quality Engineering role.
• Hands-on experience developing and maintaining test automation scripts and frameworks using Java and Python.
• Basic understanding of the Software Testing Life Cycle (STLC).
• Practical experience working in an Agile/Scrum environment.
• Keen interest in or prior experience testing AI-powered applications.
• Passion for learning and staying up to date with the latest trends in AI and software testing.

Work Authorization: Cognizant cannot provide sponsorship for U.S. work authorization for this role.