Want only bench resources

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.

● Solid understanding of CI/CD pipelines, DevOps practices,

containerization, and cloud-native testing environments.

● Proficiency in at least one programming language such as Python, Java, or

JavaScript/TypeScript for automation and AI integration.

● 5+ years of experience in Quality Assurance with 2+ years in a leadership

role.

● 3+ years of hands-on experience working with AI-driven testing tools and

methodologies.

● Proven track record of implementing modern agile ways of working in fastpaced engineering environments.

● Experience leading quality engineering transformation and innovation

initiatives.

● Strong analytical mindset with the ability to translate quality metrics into

actionable insights.

● Ability to anticipate industry trends and position QA as a strategic business

advantage.

● Proven capability in driving organizational change and innovation adoption.

● Excellent communication skills with the ability to explain complex technical

concepts to non-technical stakeholders.

Good to have skills / qualifications

● Experience with predictive analytics, AI-assisted defect management, and

intelligent reporting solutions.

● Exposure to cloud platforms and scalable enterprise testing ecosystems.

● Familiarity with performance, security, and API automation testing in AIdriven environments.

● Experience working in large-scale digital transformation or enterprise

modernization programs.

● Passion for emerging AI technologies, experimentation, and continuous

improvement culture.