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
• LLM Testing
• RAG Validation
• Prompt Evaluation Frameworks
• Hallucination Testing
• DeepEval
• OpenAI/Azure OpenAI integrations

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 Skills

• 7 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.

Other Details

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.