Architect the intelligence layer for hybrid AI

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.

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

The base salary budgeted range for this position is $220K - $320K. Individuals may also be considered for bonus and/or commission.

The anticipated annual compensation range for this position is 206,300-316,365 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo’s various benefits can be found at ;br>

Why Work at Lenovo

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).

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