REMOTE: Chief Architect, AI Engineering

About Our Team

Lenovo's Intelligent Devices Group (IDG) AI Ecosystem Team is seeking a Chief Architect, AI Engineering to define and deliver the architecture of Lenovo's next-generation AI ecosystem.

As Chief Architect, AI Engineering, you will be responsible for shaping and guiding the end-to-end software and AI architecture that enables Lenovo to deliver AI-powered experiences across PCs, tablets, and smartphones at global scale. This role spans the full AI stack: user-facing experiences, agentic orchestration, knowledge and memory systems, perception, model runtimes, reliability, and supporting platform services. The focus is on software engineering and delivery, ensuring that AI innovations are translated into performant, reliable, secure, and continuously evolving features deployed to millions of Lenovo devices. You will guide architecture across global teams working in a scaled agile model, align design choices across multiple engineering groups, and ensure Lenovo's AI stack evolves as a coherent, future-proof system with strong integration into cloud infrastructure.

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

Preferred Qualifications

* 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).

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

* Strong knowledge of 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.

* 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.

Why Join Us

* Shape the end-to-end AI architecture of Lenovo's devices, spanning experiences, knowledge, agents, and models.

* Operate across the full software and AI stack: cross-device experiences, agentic intelligence, knowledge and memory, perception, models, runtime, cloud, and infrastructure.

* Ensure Lenovo's AI innovations are delivered as real, shippable features to millions of users worldwide.

* Play a pivotal role in defining how Lenovo brings AI-powered devices to life at global scale.