Head of Core AI Engineering – Hybrid/Remote in Morrisville

Head of Core AI Engineering – Hybrid/Remote in Morrisville

Morrisville Full-Time 135000 - 165000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead engineering teams to develop cutting-edge AI for Lenovo's next-gen hybrid platform.
  • Company: Join Lenovo, a leader in tech innovation and AI development.
  • Benefits: Flexible hybrid/remote work, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in AI.
  • Why this job: Shape the future of AI technology and impact millions of devices worldwide.
  • Qualifications: Proven leadership in AI engineering and strong technical expertise.

The predicted salary is between 135000 - 165000 $ per year.

Lenovo is building Core Intelligence, a next-generation hybrid AI platform that spans Windows, Android, and cloud.

As Head of Core Intelligence, you will lead the engineering teams responsible for the AI brain of the system β€” including agentic orchestration, reasoning, fused memory, RAG retrieval, perception models, and model optimization.

You will own the intelligence substrate that powers every AI experience Lenovo ships across millions of devices.

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Head of Core AI Engineering – Hybrid/Remote in Morrisville employer: Lenovo

Lenovo is an exceptional employer that fosters a dynamic and inclusive work culture, particularly for the Global Talent Acquisition Lead role based in North America. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and a collaborative environment that encourages innovation and growth. Joining Lenovo means being part of a forward-thinking team dedicated to shaping the future of technology and cloud solutions.

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Contact Details:

Lenovo Recruitment Team

We think you need these skills to ace Head of Core AI Engineering – Hybrid/Remote in Morrisville

AI Engineering
Hybrid AI Platform Development
Agentic Orchestration
Reasoning Models
Fused Memory Systems
RAG Retrieval Techniques
Perception Models