AI Powered QA Lead

Encora; Makati; Hybrid; PHP 1,800,000 - 3,200,000; Full time

Job summary

Encora is seeking a visionary AI Powered QA Lead to transform quality engineering with AI-driven strategies. The role blends traditional QA expertise with cutting-edge AI tools, championing a 'Vibe Engineering' culture that delivers fast, reliable software.

You will architect AI-powered QA approaches, lead agile transformation, and mentor QA teams across the SDLC. This hybrid, on-site-focused position places you at the forefront of quality and delivery excellence in Taguig.

Qualifications

• 5+ years in Quality Assurance
• Hands-on with AI-powered testing tools
• Experience leading digital transformation in quality engineering
• Ability to drive agile and DevOps-enhanced QA initiatives

Responsibilities

• Design and implement AI-powered QA strategies and ML-driven analytics
• Lead agile transformation and rapid delivery frameworks
• Mentor QA teams in AI tools and modern testing practices

Skills

AI/ML testing

QA automation stacks

CI/CD & DevOps

Programming (Python/JS)

Tools

Testim

Mabl

Applitools

Selenium

Cypress

Playwright

Appium

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