Director, AI Engineering

This is a fully remote position, open to applicants in Illinois, +1 more state.

📋 Description

• Develop and oversee the Core Intelligence organization, responsible for agentic systems, orchestration, routing, tool frameworks, RAG retrieval, memory, knowledge graphs, and perception signals.

• Design the intelligence layer for hybrid AI, encompassing on-device inference, cloud fallback, multi-model routing, policy enforcement, and context grounding.

• Lead the implementation of perception-based triggers, wake-word detection logic, screenshot and audio understanding, as well as OCR/ASR pipelines.

• Manage recommendation and next-action engines in partnership with Experience Engineering.

• Spearhead the optimization of small and medium models through quantization, distillation, pruning, and device-specific tuning.

• Collaborate with Platform Engineering, Cloud Platform, SRE & Delivery, and Experience teams.

• Establish evaluation frameworks and quality gates for retrieval accuracy, hallucination avoidance, model grounding, and agent reliability.

• Determine the technical direction for the intelligence roadmap, striking a balance between innovation, prototyping, and production reliability.

• Guide senior individual contributors specializing in perception, agentic systems, RAG, memory, and model optimization.

• Work alongside research, product, and design teams to provide agent capabilities and multimodal experiences.

⛳️ Requirements

• Over 12 years of engineering experience.

• A minimum of 5 years of experience leading teams in AI/ML systems, agent platforms, search, recommendation, or applied ML infrastructure.

• Practical experience with orchestration frameworks, agentic systems, LLM/SLM pipelines, RAG systems, embeddings, and memory architectures.

• Strong technical expertise in at least one area, such as perception models (OCR/ASR/vision), retrieval systems, reinforcement learning, model optimization, or distributed systems.

• Experience in developing systems across devices and cloud in hybrid or edge environments.

• Proven ability to lead senior individual contributors, establish technical direction, and deliver complex AI systems at scale.

• Excellent collaboration skills across platform, cloud engineering, UX/experience engineering, and SRE organizations.

• Capability to thrive in fast-paced, dynamic environments and influence engineering culture.

• Willingness to travel globally up to 25% of the time.

🏝️ Benefits

• Bonus and/or commission opportunities may be available.

• Lenovo benefits can be accessed at www.lenovobenefits.com.

• Support for accommodation during the application process.