Director, AI Engineering

Lenovo

Lenovo AI engineering director leading Core Intelligence for its hybrid device-cloud AI platform. Driving agentic orchestration, RAG, perception, recommendations, and model optimization across millions of devices.

Posted 8/13/2026full-timeRemote • Illinois, North Carolina • 🇺🇸 United StatesLead💰 $220,000 - $320,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and leading AI/ML systems, focusing on agentic systems, orchestration, and model optimization. Proven ability to mentor teams and drive innovation in hybrid AI environments while ensuring system reliability and performance.

Highest-signal resume keywords

AI/ML Systems LeadershipOrchestration FrameworksModel Optimization TechniquesPerception Models (OCR/ASR/Vision)Hybrid AI Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Agentic SystemsRAG RetrievalMulti-Model RoutingQuantizationDistillationPruningDevice-Specific TuningReinforcement LearningEmbeddingsMemory Architectures

Soft Skills

Collaboration SkillsMentoring

Tools & Technologies

Cloud PlatformsOrchestration FrameworksSRE Tools

Industry Keywords

Hybrid AIEdge EnvironmentsRetrieval AccuracyModel GroundingAgent Reliability

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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