AI QA & Research Lead

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Key Responsibilities

Leadership Coordination

• Lead and coordinate AI QA and research efforts across testers, software development engineer in test (SDET), and product stakeholders
• Act as the a point of alignment between QA teams and business needs
• Define priorities, assign tasks, and ensure timely delivery of high-impact outcomes
• Foster a culture of ownership, quality, and continuous improvement
  
  

• Design and evolve AI-driven validation frameworks
• Ensure high standards for test quality, reliability, and actionable insights
• Adapt QA processes to operate efficiently under resource constraints
• Drive the adoption of state-of-the-art AI methodologies to the test area
  
  

• Guide research initiatives focused on AI QA and Automation tools
• Evaluate emerging technologies and assess their applicability to real-world problems
• Translate research findings into deployable solutions
• Collaborate with academic partners to leverage cutting-edge innovation
  
  

• Oversee the development and evolution of internal QA tools (e.g., Automation Hub)
• Ensure tools are scalable, maintainable, and aligned with user needs
• Define quality criteria and evaluate technical solutions
  
  

• Partner with Product, Engineering, and QA teams to understand requirements and constraints
• Support decision-making with data-driven insights and validated results
  
  

• Strong experience in mobile software testing and QA processes
• Advanced Python coding
• Hands-on experience with test automation frameworks and tools
• Solid understanding of AI/ML concepts and their application in QA
• Proven ability to lead technical initiatives and coordinate cross-functional teams
• Experience translating research or experimental work into production-ready solutions
• Strong analytical thinking and problem-solving skills
  
  

• Experience with AI model evaluation, validation pipelines, or LLM testing
• Background in applied research or collaboration with academic institutions
• Familiarity with data analysis and experimentation methodologies
• Experience working in resource-constrained or high-ambiguity environments
  
  

• Systems thinking: ability to connect strategy, execution, and outcomes
• Technical leadership: influence without authority across teams
• Adaptability: thrive in evolving environments with changing constraints
• Communication: articulate complex ideas clearly to diverse audiences
• Innovation mindset: continuously explore and apply new approaches
  
  

• High-quality, scalable AI QA processes are established and continuously improved
• Teams operate efficiently despite resource constraints
• Research initiatives result in tangible improvements to tools and workflows
• Strong alignment across QA, Engineering, and Product teams
• Measurable impact on validation accuracy, speed, and decision-making quality