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Principal Engineer, AI Architecture Job Opening In San Jose – Now Hiring Lenovo


Job description

Description and Requirements

Summary:

Lenovo is seeking a highly experienced and visionary Principal AI Architect to lead the design and implementation of our next-generation AI systems.

This is a pivotal role responsible for the overall technical direction, architecture, and scalability of our AI platform.

The ideal candidate is a deep generalist with a comprehensive understanding of the entire AI stack – from foundational models to application-level agents – and the ability to articulate complex technical concepts to both technical and non-technical audiences.

You will be one of the go-to experts for all things AI, guiding engineering teams and driving innovation in a rapidly evolving field.

If you are passionate about making Smarter Technology For All, come help us realize our Hybrid AI vision!

Responsibilities:

  • System Architecture: Design and maintain the overall architecture of our AI systems, ensuring scalability, reliability, and performance.
  • Model Expertise: Possess in-depth knowledge of a wide range of AI models, including Large Language Models (LLMs), multimodal models (vision, speech, text), and their underlying principles.
  • Training & Fine-tuning: Architect and oversee the training and fine-tuning of AI models, including techniques like Supervised Fine-Tuning (SFT), LoRA (Low-Rank Adaptation), and prompt tuning.
  • Agent Design: Lead the design and implementation of intelligent agents, encompassing components like intent understanding, task decomposition and planning, and tool calling using MCP – Model Context Protocol).
  • Knowledge Management: Design and implement robust knowledge management systems, including vector databases, reranking models and algorithms, and knowledge graphs.
  • Output Optimization: Select output sampling strategies to ensure high-quality, relevant, and coherent responses.
  • Technical Leadership: Provide technical leadership and mentorship to engineering teams, guiding them through the implementation of complex AI solutions.
  • Research & Innovation: Stay abreast of the latest advancements in AI research and identify opportunities to apply them to our products and services.
  • Cross-Functional Collaboration: Work closely with product management, data science, and engineering teams to define requirements and deliver innovative AI solutions.
  • System Documentation: Create and maintain comprehensive documentation of the AI system architecture and components.
  • Required Qualifications:

  • 15+ years of experience designing and implementing AI systems.
  • Understanding of Machine Learning and Deep Learning principles.
  • Extensive experience with Large Language Models (LLMs) and Transformer architectures.
  • Hands-on experience with multimodal models.
  • Proficiency in programming languages such as Python.
  • Experience with Machine Learning frameworks such as PyTorch.
  • Strong understanding of vector databases and embedding models.
  • Experience with knowledge graphs and knowledge base management.
  • Mastery with prompt engineering techniques and prompt optimization.
  • Preferred Qualifications:

  • Excellent communication, interpersonal, and presentation skills, including clear descriptions and document generation, such as class diagrams, sequence diagrams, and protocol definitions.
  • Experience with MLOps practices and deploying AI models to production.
  • Contributions to open-source AI projects.
  • Publications in leading AI conferences or journals.
  • Familiarity with Atlassian tools (Jira, Confluence)
  • The base salary range budgeted for this position in CA, CO, Jersey City - NJ, NV, Ithaca - NY, NYC, WA, is $250k - $320k.

    Individuals may also be considered for bonus and/or commission.

    Lenovo’s various benefits can be found here: face=Arial, sans-serif>

    Required Skill Profession

    Computer Occupations


    • Job Details

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