Note: The job is a remote job and is open to candidates in USA. Lenovo is a global technology company building AI-enabled devices, infrastructure, software, solutions, and services, including its next-generation Quantum hybrid AI platform. The Director of AI Engineering will lead the Core Intelligence organization and own the AI systems powering Lenovo’s cross-device experiences, including agentic orchestration, retrieval, memory, perception, recommendations, and model optimization. This hands-on leadership role sets technical direction, oversees engineering delivery, and partners across platform, cloud, experience, research, and product 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
- 25% global travel ability
Benefits
- Individuals may also be considered for bonus and/or commission.
Company Overview
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