QA Engineer / Test Lead - Ai Focused

Job Description: QA Engineer / Test Lead
Experience Required: 4-6 Years
Notice Period: Immediate Joiners Only

Role Overview
We are seeking an experienced QA Engineer / Test Lead responsible for enabling the client's QA engineers and test leads to apply AI across the testing lifecycle.
The role will focus on:
AI test-case generation
Regression-test optimization
Defect triage
Synthetic test-data generation
Exploratory-testing ideation
Bug-report quality improvement

Key Responsibilities
Enable QA engineers and test leads to apply AI across the testing lifecycle.
Delivery 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.
Note: Candidates must have AI exposure, strong communication skills, an understanding of AI tools, and appreciation of the differences between non-AI QA and AI-enabled QA practices.