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The role is responsible for planning, executing, and automating functionality, integration, regression, and performance testing for AI-enabled and enterprise systems. It involves validating AI workflows, managing defects, ensuring UI/UX consistency, and enforcing AI governance and compliance standards while working closely with engineering, AI, and DevOps teams.
Job Responsibility:
Develop and execute comprehensive test plans and test cases aligned with CX Reimagination objectives
Define and validate acceptance criteria for AI-driven workflows and multi-agent systems
Validate core application features and integrations with enterprise data sources
Perform end-to-end, integration, and regression testing to ensure system stability after enhancements and releases
Design, develop, and maintain automated test scripts using tools such as Selenium and Pytest
Conduct performance and load testing for Kubernetes-based deployments, including AKS and OpenShift environments
Identify, document, prioritize, and track defects using tools like Jira or Azure DevOps
Collaborate closely with AI engineers, developers, and DevOps teams to ensure timely defect resolution
Validate usability, consistency, and intuitiveness of UI/UX for internal and external users, coordinating with relevant teams where applicable
Validate compliance with AI governance policies, including fairness, transparency, and data privacy
Requirements:
Strong experience in both manual and automated testing methodologies
Hands-on experience with test automation tools such as Selenium and Pytest
Experience in testing APIs, backend services, and enterprise system integrations
Familiarity with cloud-native environments, including Kubernetes, AKS, and OpenShift
Solid understanding of defect lifecycle management using tools such as Jira or Azure DevOps
Ability to work effectively within cross-functional Agile teams
Bachelor's or master's degree in computer science, Engineering, or a related field
2-5 years of experience in software quality assurance or testing roles
Minimum 1 year of experience in automation tools such as Selenium and Pytest
Experience testing complex, distributed, or AI-enabled systems
Strong analytical, problem-solving, and communication skills
Nice to have:
Experience in testing AI/ML models, workflows, or multi-agent systems
Knowledge of performance testing tools such as JMeter or Locust
Exposure to CI/CD pipelines and DevOps practices
Understanding AI governance, ethical AI principles, and compliance frameworks
Experience working on enterprise-scale or customer-facing applications