Job Description
We are seeking an experienced and forward-thinking Automation QA Engineer – AI & Quality Engineering Lead to drive the next generation of intelligent test automation within our organization. This role will lead the adoption of AI-powered quality engineering practices, modern automation frameworks, and data-driven testing strategies across multiple products and teams.
The ideal candidate is a strong technical leader with deep expertise in automation, AI-assisted testing, quality strategy, and team mentorship. You will play a key role in transforming traditional QA processes into scalable, intelligent, and highly efficient quality engineering solutions.
Key Responsibilities
- Lead the design and implementation of AI-driven test automation frameworks and quality engineering strategies
- Drive adoption of intelligent testing solutions including self-healing automation, AI-generated test cases, predictive analytics, and risk-based testing
- Define and establish automation standards, best practices, and scalable QA processes across teams
- Evaluate and implement modern AI-based testing tools and platforms
- Collaborate with engineering, product management, DevOps, and leadership teams to improve product quality and release efficiency
- Lead automation architecture discussions and guide technical direction for QA initiatives
- Mentor and develop QA engineers in automation, AI-assisted testing, and modern quality engineering practices
- Build and maintain scalable automation solutions for web, mobile, API, and backend systems
- Drive continuous improvement initiatives focused on reducing manual effort and improving release confidence
- Provide leadership visibility through quality metrics, automation coverage, defect trends, and predictive quality insights
- Support CI/CD integration and shift-left testing initiatives
- Participate in strategic planning for long-term quality transformation initiatives
Required Qualifications
- 4+ years of experience in software quality assurance and test automation
- Experience managing or mentoring QA and automation teams
- Hands-on experience with AI-powered automation and intelligent testing platforms
- Strong expertise in automation frameworks for UI, API, and integration testing
- Experience implementing scalable automation architecture and enterprise QA strategies
- Strong understanding of CI/CD pipelines, DevOps practices, and cloud-based testing
- Excellent analytical, communication, and stakeholder management skills
- Ability to lead cross-functional initiatives and influence engineering best practices
Technical Skills
- AI-assisted testing and intelligent automation tools
- Self-healing automation frameworks
- Test case generation using AI/LLM technologies
- Predictive defect analysis and risk-based testing
- Selenium, Playwright, Cypress, Appium, or similar frameworks
- API automation and performance testing
- Programming experience in Java, Python, JavaScript, or C#
- Git, Jenkins, Azure DevOps, GitHub Actions, or similar CI/CD tools
- Test management and reporting platforms
Preferred Qualifications
- Experience leading enterprise QA transformation initiatives
- Exposure to machine learning concepts applied to software testing
- Experience with GenAI-based productivity tools for engineering and QA workflows
- Experience working in Agile and scaled Agile environments
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
What We're Looking For
- A strategic thinker who can modernize QA practices using AI and automation
- A technical leader who can influence teams and drive quality culture
- Someone passionate about innovation, continuous improvement, and scalable engineering practices
- A mentor who can elevate team capabilities and foster technical growth
