Sr Manager Quality Engineering - AI Ecosystem

General Information

Req #: WD

Career area:
Engineering

Country/Region:
United States of America

State:
Illinois

City:
Chicago

Date:
Tuesday, April 21, 2026

Working time:
Full-time

• United States of America
  - Illinois
  - Chicago

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

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 , and read about the latest news via our Story Hub.

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 cross device Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here:

Location:

Chicago, IL and San Jose, CA is highly preferred. Hybrid (3 days onsite and 2 days remote). May be open to remote work in the US.

• 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.

• 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.
• 4+yrs of 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.
• Global travel capability.

The base salary budgeted range for this position is $180K - $210K. Individuals may also be considered for bonus and/or commission.

Lenovo's various benefits can be found on

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.