Job Description

What You Will Do

● Design and implement AI-powered QA strategies leveraging machine learning

for predictive quality analytics, automated test generation, and intelligent

defect prediction.

● Build next-generation automation frameworks with self-healing scripts,

intelligent test prioritization, and adaptive test coverage analysis.

● Develop AI-driven quality dashboards and insights for data-driven decisionmaking, risk forecasting, and continuous improvement.

● Lead adoption of modern agile methodologies tailored for AI-enhanced

development cycles, including DevOps integration and continuous testing

practices.

● Implement streamlined QA processes that accelerate time-to-market while

maintaining strong quality gates through intelligent automation.

● Collaborate closely with development, product, and operations teams to

embed quality across the SDLC.

● Champion a “quality at speed” culture where rapid delivery and engineering

excellence coexist.

● Drive experimental initiatives exploring emerging AI technologies, tools, and

innovative QA methodologies.

● Mentor and coach QA engineers on AI-powered testing tools, modern

automation practices, and adaptive delivery models.

What You Bring

● Hands-on experience with AI-powered testing platforms such as Testim,

Mabl, Applitools, Functionize, or similar intelligent automation

solutions.

● Strong expertise in modern automation frameworks including Selenium,

Cypress, Playwright, and Appium.