Sr Manager Quality Engineering Qira AI Platform

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Lenovo is a US$69 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.

Responsibilities

• Build and lead the AI Quality Engineering organization at India, covering functional testing, scenario testing, automation, and regression.
• Define and execute a comprehensive AI testing strategy across Windows, Android, cloud, and cross-device experiences.
• Architect the AI automation framework for UI, system interactions, agent flows, and multimodal input/output validation.
• Own model and agent evaluation pipelines, including accuracy, latency, grounding, hallucination detection, safety checks, and guardrail tests.
• Build tooling for validating local versus cloud inference paths, RAG reliability, perception models, and agent orchestration flows.
• Partner with SRE Delivery to define quality gates, release criteria, and gating policies for the release train.
• Create a unified scenario library across features like Learning Zone, Notion integration, cross-device continuity, Local Agent, and more.
• Develop a risk-based testing strategy to support parallel prototyping while maintaining high confidence in integration and release.
• Work closely with Platform, Core Intelligence, Experience, and Cloud teams to identify quality gaps early and enforce quality standards.
• Lead the cultural shift toward testability by design and raise the quality bar across all engineering teams.
  
  

• 10+ years of experience in quality engineering, test automation, or AI/ML validation, with at least 3 years leading teams.
• Strong background in building automation frameworks for complex distributed or cross-device products.
• Hands-on experience testing AI models, RAG/LLM systems, perception models, or agentic behaviors.
• Deep experience with UI automation (Windows, Android), API testing, performance validation, and scenario-based testing.
• Experience working with telemetry, logs, and debugging across large-scale systems.
  
  

• Ability to work across geographies and manage cross-functional alignment with platform, intelligence, cloud, and experience teams.
• Proven success driving quality culture in fast-paced engineering organizations.
• 25% global travel capability.