Director, AI Engineering - REMOTE

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

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).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

About Our Team Lenovo is building Quantum, a next-generation hybrid AI platform that spans Windows, Android, and cloud. As Head of Core Intelligence, you will lead the engineering teams responsible for the “AI brain” of the system — including agentic orchestration, reasoning, fused memory, RAG retrieval, perception models, recommendation systems, and model optimization.

You will own the intelligence substrate that powers every AI experience Lenovo ships across millions of devices. This is a hands-on engineering leadership role, combining deep technical understanding with the ability to operate across multiple layers of the AI stack.

We recently introduced Qira, our new cross‑device Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here: https://news.lenovo.com/pressroom/press-releases/lenovo-unveils-lenovo-and-motorola-qira/

Location: Remote work in the US is an option with 25% travel.

What You’ll Do

• Build and lead the Core Intelligence organization, owning agentic systems, orchestration, routing, tool frameworks, RAG retrieval, memory, knowledge graph, and perception signals.
• Architect the intelligence layer for hybrid AI: on-device inference, cloud fallback, multi-model routing, policy enforcement, and context grounding.
• Drive the development of perception-based triggers, wake-word detection logic, screenshot and audio understanding, OCR/ASR pipelines.
• Own the recommendation and next-action engines, working closely with Experience Engineering to deliver contextual, proactive AI.
• Lead the optimization of small and medium models (SLMs): quantization, distillation, pruning, and device-specific tuning.
• Partner closely with Platform Engineering, Cloud Platform, SRE Delivery, and Experience teams to ensure Core Intelligence is performant, reliable, and tightly integrated.
• Define evaluation frameworks and quality gates for intelligence features such as retrieval accuracy, hallucination avoidance, model grounding, and agent reliability.
• Set the technical direction for the intelligence roadmap, balancing innovation, prototyping, and production reliability.
• Mentor senior ICs across perception, agentic systems, RAG, memory, and model optimization.
• Collaborate with research, product, and design teams to bring new agent capabilities and multimodal experiences to life.

Basic Qualifications

• 12+ years of engineering experience with at least 5 years leading teams in AI/ML systems, agent platforms, search, recommendation, or applied ML infrastructure.
• Hands-on experience with orchestration frameworks, agentic systems, LLM/SLM pipelines, RAG systems, embeddings, and memory architectures.
• Strong technical depth in at least one of: perception models (OCR/ASR/vision), retrieval systems, reinforcement learning, model optimization, distributed systems.
• Experience building systems that run across device + cloud in hybrid or edge environments.

Preferred Qualifications

• Demonstrated ability to lead senior ICs, set technical direction, and deliver complex AI systems at scale.
• Strong collaboration skills across platform teams, cloud engineering, UX/experience engineering, and SRE organizations.
• Ability to thrive in fast-paced, evolving environments and shape the engineering culture fo…