Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the transformation of testing strategies to AI-driven, automation-first approaches.
- Company: Join a forward-thinking tech company focused on innovation and quality.
- Benefits: Attractive salary, health perks, remote work options, and growth opportunities.
- Why this job: Be at the forefront of AI and automation in quality engineering.
- Qualifications: 15+ years in Quality Engineering with leadership experience in transformation.
- Other info: Dynamic role with a chance to shape the future of testing.
The predicted salary is between 54000 - 84000 £ per year.
We are seeking a visionary Quality Engineering (QE) Transformation Leader to drive the evolution of a large-scale testing organization (350+ professionals) from traditional testing strategies to AI-enabled, automation-first approaches. This role will spearhead the adoption of cutting-edge AI technologies, modern automation frameworks, and innovative tooling strategies to deliver superior quality at speed and scale.
Key Responsibilities:
- Strategic Leadership: Define and execute a multi-year transformation roadmap to transition from conventional testing to AI-driven QE practices. Align transformation initiatives with organizational goals, ensuring measurable business outcomes.
- AI & Automation Enablement: Introduce and scale AI-powered testing solutions (e.g., predictive analytics, self-healing scripts, intelligent test generation). Drive automation maturity across functional, regression, performance, and security testing.
- Tooling Strategy & Governance: Develop and implement a comprehensive tooling strategy for test automation, AI-based test optimization, and continuous quality. Evaluate, select, and integrate best-in-class tools and platforms to support AI-enabled QE.
- Change Management & Adoption: Lead cultural and skill transformation within the QE organization, fostering innovation and continuous learning. Design and deliver enablement programs for upskilling teams on AI, ML, and advanced automation practices.
- Collaboration & Stakeholder Management: Partner with engineering, product, and business leaders to embed quality into the development lifecycle. Act as a thought leader and evangelist for AI-driven QE across the enterprise.
- Metrics & Reporting: Define KPIs to measure transformation success (e.g., automation coverage, defect leakage, cycle time reduction). Provide regular updates to senior leadership on progress, challenges, and ROI.
Required Skills & Experience:
- 15+ years in Quality Engineering, with at least 5 years in leadership roles driving large-scale transformation.
- Proven track record of implementing AI and automation strategies in enterprise environments.
- Technical Expertise: Deep understanding of AI/ML concepts applied to software testing. Hands-on experience with automation frameworks (Selenium, Cypress, Playwright), AI-based testing tools, and CI/CD pipelines.
- Leadership & Communication: Exceptional ability to influence and lead cross-functional teams. Strong communication and stakeholder management skills.
Preferred:
- Exposure to cloud-native testing, DevOps, and continuous quality practices.
- Certifications in AI/ML or advanced test automation.
AI & Automation Transformation QE Leader employer: InfinityQuest Ltd,
Contact Detail:
InfinityQuest Ltd, Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Automation Transformation QE Leader
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI and automation. This gives you something tangible to discuss during interviews and shows you're proactive.
✨Tip Number 3
Prepare for those interviews! Research common questions for QE leaders and practice your responses. Be ready to share specific examples of how you've driven transformation in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with our vision for AI-driven quality engineering.
We think you need these skills to ace AI & Automation Transformation QE Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI & Automation Transformation QE Leader role. Highlight your leadership experience and any relevant projects that showcase your expertise in AI and automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about transforming quality engineering through AI. Share specific examples of how you've driven change in previous roles and how you can bring that vision to StudySmarter.
Showcase Your Technical Skills: Don’t forget to highlight your technical know-how! Mention your experience with automation frameworks and AI-based testing tools. We want to see how you’ve applied these technologies in real-world scenarios to improve quality and efficiency.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at InfinityQuest Ltd,
✨Know Your AI & Automation Inside Out
Make sure you brush up on the latest AI technologies and automation frameworks relevant to quality engineering. Be ready to discuss how you've implemented these in past roles, as well as your vision for their future application in testing.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading large-scale transformations. Think about specific challenges you've faced and how you aligned initiatives with business goals to achieve measurable outcomes.
✨Be Ready to Discuss Change Management
Expect questions about how you would foster a culture of innovation and continuous learning within a QE organisation. Have strategies in mind for upskilling teams on AI and advanced automation practices.
✨Metrics Matter
Understand the key performance indicators (KPIs) that measure transformation success in quality engineering. Be prepared to discuss how you would define and track these metrics to report progress to senior leadership.
