Senior Talent Sourcer – Capgemini Global Sourcing CoE Insights & Data (I&D)
About the role
The QA Analyst plays a critical role in executing and automating functional and non-functional testing for Generative AI-driven applications. This role ensures AI models, APIs, and user interfaces are reliable, scalable, and secure by implementing robust test cases and automation frameworks.
Responsibilities
- Execute end-to-end (E2E) integration tests to validate AI-driven actions and ensure the product functions correctly per requirements.
- Validate workflows, user journeys, API interactions, and AI model outputs align with business logic.
- Support user acceptance testing activities.
- Validate input datasets for training, testing, and fine-tuning of AI models.
- Ensure data integrity, preprocessing workflows, and real‑world alignment of synthetic data.
- Validate data pipelines and data flow between the AI model, backend services, and frontend.
- Test models against predefined scenarios, including edge cases and adversarial inputs.
- Support performance, load, and stress testing using tools such as JMeter.
- Simulate heavy traffic and concurrent users to test scalability.
- Test for vulnerabilities in data handling, API endpoints, and the AI model.
- Ensure secure handling of sensitive data (e.g., input / output data used in AI processes).
- Automate test cases for regression and frequent deployments.
- Validate new builds, releases, and updates continuously.
- Track defects, log issues, and verify fixes in collaboration with development teams.
- Monitor production model performance and analyze results for quality improvements.
- Implement test automation for functional and regression testing using Selenium, Cypress, and Robot Framework.
- Conduct API testing using Postman and SoapUI to validate backend service interactions.
- Assist in security and compliance validation, ensuring data protection and regulatory adherence.
Skills & Experience
Experience in quality assurance, with a focus on functional and integration testing.Proficiency in test automation tools (Robotics Frameworks, Selenium, Cypress) and API testing (Postman, SoapUI).Python working experience is a Must.LLM evaluation is a plus.Strong knowledge of AI model validation techniques and data integrity testing.Familiarity with performance testing tools (e.g., JMeter) and security best practices.Experience working in agile environments with CI / CD pipeline integration.Strong analytical skills with attention to detail in test execution and reporting.Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering, Information Technology, and Quality Assurance
Industries
IT Services and IT Consulting, Business Consulting and Services, and Outsourcing and Offshoring Consulting
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