Head of AI Core Intelligence

🕒 July 27

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $220k - $320k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lenovo

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

🔧 Hardware

🏢 Enterprise

👥 B2C

💰 $2G Post-IPO Debt - Lenovo on 2025-01

Hardware • Enterprise • B2C

Lenovo is a multinational technology company that designs, manufactures and sells a broad range of computing products and services. It is widely known for personal computers and laptops (including the ThinkPad line and X1 Carbon), consumer and gaming systems (Lenovo Gaming, Legion), as well as servers, data-center and enterprise IT solutions, smart devices and related services. Lenovo serves both consumer and business customers through retail, online stores and enterprise channels and is promoting AI-focused services and solutions for enterprises.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Lenovo’s various benefits can be found on www.lenovobenefits.com.