QA Automation Analyst

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance. This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence. 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 a