Cognizant
Automation Tester (Airline Domain & AI)
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Role will be part of our Quality Engineering & Assurance (QE&A) Practice. With more than 650 clients across industry verticals and a global footprint, Cognizant QE&A practice is a recognized thought leader in quality engineer and Assurance. As enterprises simplify, modernize and secure their legacy environments for the digital era, robust quality Engineering and assurance is essential. Quality takes an end-to-end connotation and must straddle both legacy and digital systems. Cognizant QE&A is reimagining QE&A, employing an end-to-end ecosystem approach with intelligent and automated QA processes. In so doing, increasing quality and speed to promote faster business and technology change, as well as a better customer experience.
Role requires 3 days working from client site in West London.
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Key Responsibilities:
- Design, build, and maintain scalable automation frameworks across API, UI, and mobile layers of airline applications.
- Perform test design/execution aligned to AI ways of working.
- Use AI Test Generation Tools to auto-generate, prioritize, and maintain test cases/scripts from requirements and production logs, reducing manual authoring effort.
- Apply AI Assurance practices to validate the accuracy, bias, and reliability of AI/GenAI-driven features (chat assistants, recommendation engines, dynamic pricing).
- Validate airline-specific business rules, fare/schedule logic, and regulatory compliance requirements through automated and AI-assisted checks.
Key Skills and Experience:
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- Experience in Design, build, and maintaining scalable automation frameworks across API, UI, and mobile layers of airline applications.
- Experience in performing test design/execution aligned to AI ways of working.
- Experience in AI Test Generation Tools to auto-generate, prioritize, and maintain test cases/scripts from requirements and production logs, reducing manual authoring effort.
- Experience in applying AI Assurance practices to validate the accuracy, bias, and reliability of AI/GenAI-driven features (chat assistants, recommendation engines, dynamic pricing).
- Experience in validating airline-specific business rules, fare/schedule logic, and regulatory compliance requirements through automated and AI-assisted checks.
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