Head Of Ai Architecture

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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).
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Description and RequirementsAbout Our Team
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.
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.
Additional Locations* United States of America
PAY TRANSPARENCYThe anticipated annual compensation range for this position is 230,000–300,000
USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at
In compliance with Colorado’s Equal Pay for Equal Work Act (EPEWA), the expected application deadline for this position is 09-30-2026. This requirement applies to both internal and external candidates.
If you require an accommodation to complete this application, please contact View email address on ca.hrm.tc
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