Director, AI Engineering

Job not on LinkedIn

🕒 August 13

🌽 Illinois, North Carolina – Remote

🌽 Illinois – Remote 🌲 North Carolina – Remote

💵 $220k - $320k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.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, including on-device inference, cloud fallback, multi-model routing, policy enforcement, and context grounding • Drive perception-based triggers, wake-word detection logic, screenshot and audio understanding, and OCR/ASR pipelines • Own recommendation and next-action engines in collaboration with Experience Engineering • Lead optimization of small and medium models through quantization, distillation, pruning, and device-specific tuning • Partner with Platform Engineering, Cloud Platform, SRE & Delivery, and Experience teams • Define evaluation frameworks and quality gates for retrieval accuracy, hallucination avoidance, model grounding, and agent reliability • Set technical direction for the intelligence roadmap, balancing innovation, prototyping, and production reliability • Mentor senior individual contributors across perception, agentic systems, RAG, memory, and model optimization • Collaborate with research, product, and design teams to deliver agent capabilities and multimodal experiences

🎯 Requirements

• 12+ years of engineering experience • 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, or distributed systems • Experience building systems across device and cloud in hybrid or edge environments • Ability to lead senior individual contributors, set technical direction, and deliver complex AI systems at scale • Strong collaboration skills across platform, cloud engineering, UX/experience engineering, and SRE organizations • Ability to thrive in fast-paced, evolving environments and shape engineering culture • Ability to travel globally 25%

🏖️ Benefits

• Bonus and/or commission may be available • Lenovo benefits are available at www.lenovobenefits.com • Accommodation support for the application process

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