Head of AI Architecture

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).

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.

• 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.

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:

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.

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.

The base salary budgeted range for this position is $230K - $300K. 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.

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