The role
Job description
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.