About The Role

Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
Document defects, observations, and actionable feedback for engineering and product development teams.
Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
Re-test resolved issues and verify fixes as new builds become available.
Maintain detailed testing documentation and ensure traceability of validation results.
Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
Strong attention to detail with excellent analytical and problem-solving skills.
Ability to interpret test results and identify discrepancies.
Experience documenting defects and working with engineering teams to resolve issues.
Good written and verbal communication skills.
Familiarity with software testing methodologies and defect lifecycle management.
Exposure to Agile development environments is preferred.
Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

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QA Automation Analyst