Sr Manager Quality Engineering - AI Ecosystem

About Our Team

We seeking a Sr Manager AI Quality to join our Intelligent Device Group AI Ecosystem team. This role involves building and leading the AI Quality Engineering organization in US, focusing on functional testing, scenario testing, automation, and regression across various platforms, including Windows, Android, and cloud environments.

We recently introduced Qira, our new crossdevice Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here: [1] https://news.lenovo.com/pressroom/press-releases/lenovo-unveils-lenovo-and-motorola-qira/

Location: Chicago, IL, Hybrid (3 days onsite and 2 days remote)

What You'll Do

• Build and lead the AI Quality Engineering organization in the US, 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.

Basic Qualifications

• 10+ years of experience in quality engineering, test automation, or AI/ML validation, with at least 3 years leading teams.
• Bachelor's degree in Engineering or Technical discipline.
• 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.

Preferred Qualifications

• 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.
• Global travel capability.