Note: The job is a remote job and is open to candidates in USA. Lenovo is building Quantum, a next-generation hybrid AI platform spanning Windows, Android, and cloud. The Director, AI Engineering will lead the Core Intelligence organization and own agentic systems, orchestration, retrieval, memory, perception, recommendation, and model optimization. The role also sets technical direction, defines quality frameworks, mentors senior engineers, and collaborates across platform, cloud, research, product, and design teams.
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
- 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
Skills
- 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
- 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
Benefits
- Individuals may also be considered for bonus and/or commission.
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