About Our Team

Lenovo’s Intelligent Devices Group (IDG) AI Ecosystem Team is seeking a Head of AI Architecture & Innovation to define and deliver the architecture of Lenovo’s next-generation AI ecosystem.

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

What You'll Do

• Own the architecture across the full software development and delivery cycle of AI experiences, spanning cross-device runtimes, hybrid AI execution, orchestration and knowledge frameworks, model runtimes and tuning, platform services, observability, security and Infosec compliance, release and OTA rollouts, partner enablement, and incubation.

• Ensure Lenovo’s AI features are designed for delivery at scale: performant, secure, reliable, observable, and privacy-conscious across millions of devices.

• Guide integration of hybrid model execution across local devices and cloud, with routing, fallback, and policy enforcement.

• Define standards for release engineering, pipelines, governance, and rollback mechanisms.

• Drive cross-team architectural alignment, making pragmatic tradeoffs to keep features shippable.

• Partner with inter-department Infrastructure and Infosec teams to remove bottlenecks and ensure compliance.

• Mentor senior engineers and ICs, raising technical depth and execution focus across the org.

• Ensure the architecture is future-proof and extensible, enabling SDKs, 3P agent integrations, and experimental innovation.

Basic Qualifications

• 15+ years of software engineering and architecture experience delivering large-scale, production-grade systems

• Experience with the full AI stack: experience surfaces, agentic orchestration, knowledge and memory systems, perception, model runtimes, evaluation, and infrastructure.

• Proven track record of shipping AI-driven or distributed software systems at scale.

• Experience architecting cross-device runtimes (Windows + Android) with cloud integration.

• Proven expertise in delivering software with OTA rollouts and preload governance at global scale.

• Expertise in designing complex distributed systems and cloud-native platforms, with broad knowledge across cloud providers (infrastructure, APIs, observability, and deployment).

Preferred Qualifications

• Deep expertise in the Microsoft ecosystem and Azure cloud including architecture, services, and enterprise-scale integration.

• Strong understanding of hybrid AI architectures, including local and cloud inference, model orchestration, and multimodal runtimes.

• Experience guiding globally distributed engineering organizations in agile or scaled agile (SAFe) environments.

• Recognized as a pragmatic software architect who enables engineering teams to deliver, not just design.

Lenovo’s various benefits can be found on www.lenovobenefits.com.