Head of AI Architecture

Lenovo•Morrisville, NC

1d•$230,000 - $300,000•Hybrid

About The Position

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. This role will 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. The goal is to ensure Lenovo’s AI features are designed for delivery at scale: performant, secure, reliable, observable, and privacy-conscious across millions of devices. The role also involves guiding the integration of hybrid model execution across local devices and cloud, defining standards for release engineering, driving cross-team architectural alignment, partnering with infrastructure and Infosec teams, mentoring senior engineers, and ensuring the architecture is future-proof and extensible.

Requirements

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).

Nice To Haves

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.

Responsibilities

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.