
REMOTE: Chief Architect, AI Engineering
- Morrisville, NC
- $23,000-33,000 per year
- Permanent
- Full-time
- United States of America
- 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.
- 15+ years of software engineering and architecture experience delivering large-scale, production-grade systems
- 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.
- 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.
- United States of America
- United States of America