Lenovo is building Quantum, a next-generation hybrid AI platform that spans Windows, Android, and cloud. The company is looking for a Director of Core Intelligence to 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. This role will own the intelligence substrate that powers every AI experience Lenovo ships across millions of devices.
Requirements
- 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.
Responsibilities
- 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.
Other
- 12+ years of engineering experience with at least 5 years leading teams in AI/ML systems, agent platforms, search, recommendation, or applied ML infrastructure.
- 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 for a new AI platform.
- 25% global travel ability
