Description

Requirements:

5 or more years of experience in designing or architecting AI-enabled testing workflows.

Experience in test automation frameworks, especially qTest and TOSCA.

Experience in integrating AI with QA processes to improve regression testing efficiency.

Experience with analyzing and optimizing enterprise testing pipelines.

Experience in applying AI tools to automate and scale QA test case generation.

Experience with leveraging machine learning or NLP to enhance QA decision-making.

Strong communication skills to present technical strategies and past AI testing use cases.

Responsibilities:

Lead architectural design for AI-enhanced test automation strategies.

Propose scalable AI-driven QA improvements using current tools.

Evaluate inefficiencies in manual and automated testing pipelines.

Provide input on enhancing test coverage with minimal manual intervention.

Demonstrate real-world examples of AI integration benefits from past projects.

Work directly onsite to consult and align testing strategy with stakeholders

Education

Any Gradute