AI Powered QA Lead

Encora; Philippines; Hybrid; PHP 2,000,000 - 3,000,000; Full time

Job summary

Encora seeks an AI Powered QA Lead to drive transformation of quality engineering with AI integration at its BGC, Taguig City location. The role blends traditional QA leadership with AI-driven testing, rapid delivery, and a culture of innovation.

The ideal candidate will architect AI-based QA strategies, build adaptive test frameworks, and champion cross-functional collaboration to embed quality across the SDLC while balancing speed and rigor.

Qualifications

• 5+ years in Quality Assurance
• Hands-on with AI-powered testing tools and methodologies
• Experience implementing New Ways of Working in fast-paced, agile environments
• Experience leading digital transformation initiatives in quality engineering

Responsibilities

• Lead AI-powered QA strategy engineering across the SDLC
• Design AI-driven test automation and self-healing scripts
• Develop AI dashboards for quality analytics and risk forecasting
• Champion agile transformation and DevOps integration within QA processes

Skills

AI/ML Testing

Selenium/Cypress

CI/CD

Python/Java

Test Automation

Tools

Testim

Mabl

Applitools

Job description

Position Title: AI Powered QA Lead

Work Location: BGC, Taguig City. (2 x onsite per week hybrid set up)

We are seeking a visionary Quality Assurance Lead to spearhead the transformation of our quality engineering practices through cutting-edge AI integration and innovative working methodologies. This role demands a strategic leader who can seamlessly blend traditional quality expertise with AI-powered tools while championing "Vibe Engineering" – a philosophy that balances rapid delivery with uncompromising quality standards.

AI-Driven Quality Excellence

• AI Tool Architecture: Design and implement comprehensive AI-powered QA strategies, leveraging machine learning models for predictive quality analytics, automated test generation, and intelligent defect prediction
• Automated Testing Evolution: Build next-generation test automation frameworks powered by AI, including self-healing test scripts, intelligent test prioritization, and adaptive test coverage analysis
• Quality Intelligence: Develop AI-driven quality dashboards and insights that enable data-driven decision-making, risk forecasting, and continuous improvement initiatives

New Ways of Working Leadership

• Agile Transformation: Lead the adoption of modern agile methodologies tailored for AI-enhanced development cycles, including DevOps integration and continuous testing practices
• Rapid Delivery Frameworks: Implement streamlined processes that accelerate time-to-market while maintaining rigorous quality gates through intelligent automation
• Cross-Functional Collaboration: Foster a culture of innovation by working closely with development, product, and operations teams to embed quality throughout the entire SDLC

Vibe Engineering Champion

• Quality Culture Builder: Cultivate an organizational mindset where speed and quality coexist harmoniously, emphasizing the "quality at speed" philosophy
• Innovation Steward: Lead experimental initiatives that explore emerging technologies and methodologies to enhance both delivery velocity and quality outcomes
• Talent Development: Mentor and coach QA team members in AI tools, modern testing practices, and adaptive working approaches

Required Qualifications

Technical Expertise

• AI/ML Proficiency: Proven experience with AI/ML tools for software testing, including platforms like Testim, Mabl, Applitools, or similar AI-powered testing solutions
• Modern QA Stack: Deep knowledge of contemporary testing frameworks (Selenium, Cypress, Playwright, Appium) enhanced with AI capabilities
• DevOps & CI/CD: Strong background in CI/CD pipelines, containerization, and cloud-native testing environments
• Programming Skills: Proficiency in at least one modern programming language (Python, Java, JavaScript/TypeScript) for test automation and AI integration

Experience Requirements

• 5+ years in Quality Assurance
• hands-on experience with AI-powered testing tools and methodologies
• Demonstrated track record of implementing "New Ways of Working" in fast-paced, agile environments
• Experience leading digital transformation initiatives in quality engineering