Lenovo is seeking a Principal AI Architect to lead the design and implementation of their next-generation AI systems, driving innovation and technical direction for the AI platform.
Requirements
- Experience designing software systems and integrating them into shipping products including implementing AI systems.
- Familiarity with operating systems such as Linux, Windows, or Android
- 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, C++, Java, or Kotlin.
- Experience with Machine Learning frameworks such as PyTorch, LangChain, LangGraph, Autogen, etc.
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 (e.g., 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.
Other
- Excellent communication, interpersonal, and presentation skills, including clear descriptions and document generation, such as class diagrams, sequence diagrams, and protocol definitions.
- 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.
- We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
- Individuals may also be considered for bonus and/or commission.
