About this role
We are seeking an experienced QA Engineer / Test Lead responsible for enabling the team QA engineers and test leads to apply AI across the testing lifecycle. This role will focus on AI test-case generation, regression-test optimization, defect triage, synthetic test-data generation, exploratory-testing ideation, and bug-report quality improvement.
Key Responsibilities:
- Enable QA engineers and test leads to apply AI across the testing lifecycle.
- Deliver training on AI test-case generation.
- Support regression-test optimization initiatives.
- Drive defect triage activities.
- Facilitate synthetic test-data generation.
- Guide exploratory-testing ideation using AI.
- Improve bug-report quality through AI-assisted approaches.
- Promote the effective use of GenAI to accelerate testing without compromising coverage or control.
Required Experience & Skills:
- 4-6 years of experience in QA Engineering or Test Engineering.
- Strong QA background with experience in manual and automated testing.
- Understanding of test-management processes and defect lifecycle management.
- Experience with enterprise quality practices.
- Exposure to AI and GenAI tools used within testing environments.
- Strong understanding of the differences between traditional QA practices and AI-enabled QA approaches.
- Knowledge of AI test-case generation, test optimisation, and AI-assisted testing techniques.
- Practical experience using GenAI to accelerate testing while maintaining quality, coverage, and control.
- Good communication and stakeholder management skills.
- Ability to clearly explain AI concepts and tools to engineering and business stakeholders.
What we offer:
The team provides a dynamic work environment that fosters innovation and growth, along with opportunities for professional development and collaboration with talented teams.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.