Senior AI Architect & Hybrid AI Lead

Lenovo

Morrisville (NC)

On-site

USD 185,000 - 283,000

Full time

14 days+

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Job summary

Lenovo is seeking a highly experienced Sr. AI Architect to lead the design and implementation of next-gen AI systems.

You will shape the overall technical direction, architecture, and scalability of our AI platform, guiding engineering teams and driving innovation in a rapidly evolving field. The ideal candidate is a deep generalist with expertise across the AI stack—from foundational models to application-level agents—and can articulate complex concepts to technical and non-technical audiences.

Qualifications

  • Ph.D. or advanced degree in Computer Science, AI, or related field.
  • 12+ years of experience designing and implementing AI systems.
  • Strong knowledge of AI models, LLMs, and transformer architectures.
  • Hands-on experience with multimodal models and Python.
  • Experience with vector databases and knowledge graphs.

Responsibilities

  • Design and maintain the architecture of AI systems for scalability and performance.
  • Lead training and fine-tuning of AI models including SFT, LoRA, and prompt tuning.
  • Guide agent design with intent understanding, planning, and tool calls.
  • Develop knowledge management systems including vector databases and knowledge graphs.
  • Collaborate with product, data science, and engineering teams to deliver AI solutions.
  • Create comprehensive system documentation.

Skills

AI architecture
Experience with AI systems
Python
LLMs and transformers
Multimodal models
Knowledge management
Prompt engineering
Cross-functional collaboration

Education

Ph.D. preferred
Advanced degree in CS/AI

Tools

PyTorch
Jira
Confluence

Job description

Lenovo is seeking a highly experienced Sr. AI Architect to lead the design and implementation of next-gen AI systems.

You will shape the overall technical direction, architecture, and scalability of our AI platform, guiding engineering teams and driving innovation in a rapidly evolving field. The ideal candidate is a deep generalist with expertise across the AI stack—from foundational models to application-level agents—and can articulate complex concepts to technical and non-technical audiences.

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