Chief AI Architect - REMOTE
Lenovo
About the role
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 trade‑offs 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.
Salary
The base salary budgeted range for this position is $230K - $330K. Individuals may also be considered for bonus and/or commission.
Benefits
Lenovo's various benefits can be found on
Application Deadline
In compliance with Colorado's EPEWA, the expected application deadline for this position is January 5, 2026. This applies to both external and internal candidates.
Requirements
- Basic Qualifications15years of software engineering and architecture experience delivering large-scale, production-grade systems
- 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
Responsibilities
- 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 DoOwn 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
Benefits
Skills
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