Senior AI Architect & Hybrid AI Leader

Lenovo

North Carolina

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Lenovo in the United States is seeking a highly experienced Sr AI Architect to lead the design and implementation of our next-generation AI systems. This role is pivotal for the overall technical direction, architecture, and scalability of the AI platform.

The ideal candidate is a deep generalist with understanding from foundational models to application-level agents, able to articulate complex concepts to technical and non-technical audiences, and to guide engineering teams in a rapidly

Qualifications

  • Ph.D. or equivalent with 12+ years of AI system design and implementation.
  • Expertise spanning ML/DL, LLMs, transformers, and multimodal models.
  • Proficiency in Python and PyTorch.
  • Experience with knowledge graphs and vector databases.
  • Ability to explain complex AI concepts to diverse audiences.

Responsibilities

  • Design and maintain scalable AI system architectures.
  • Oversee training, fine-tuning, and deployment of AI models.
  • Lead development of intelligent agents and tool calling.
  • Drive research and apply new AI advances to products.
  • Collaborate with product, data science, and engineering teams.
  • Create comprehensive system documentation.

Skills

Machine Learning
Deep Learning
Large Language Models
Transformer architectures
Multimodal models
Python
PyTorch
Vector databases
Embedding models
Knowledge graphs
Prompt engineering
Technical leadership

Education

Ph.D. in Computer Science, Artificial Intelligence, or related field

Tools

Jira
Confluence

Job description

Lenovo in the United States is seeking a highly experienced Sr AI Architect to lead the design and implementation of our next-generation AI systems. This role is pivotal for the overall technical direction, architecture, and scalability of the AI platform.

The ideal candidate is a deep generalist with understanding from foundational models to application-level agents, able to articulate complex concepts to technical and non-technical audiences, and to guide engineering teams in a rapidly

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