General InformationReq # WD00105132
Career area: Artificial Intelligence
Country/Region: United States of America
State: North Carolina
City: Morrisville
Date: Friday, September 11, 2026
Working time: Full-time
Additional Locations:
* United States of America - California - San Jose
* United States of America - North Carolina - Morrisville
Description and RequirementsSummary: Lenovo is seeking a highly experienced and visionary Sr. 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 (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.
- 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: - Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, or a related field.
- 12+ 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.
- Familiarity with prompt engineering techniques and prompt optimization.
Preferred Qualifications: - 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)
- Excellent communication, interpersonal, and presentation skills, including clear descriptions and document generation, such as class diagrams, sequence diagrams, and protocol definitions.
#LATC
Additional Locations:
* United States of America - California - San Jose
* United States of America - North Carolina - Morrisville
PAY TRANSPARENCYThe anticipated annual compensation range for this position is
184,700-283,245 USD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions. Lenovo's various benefits can be found at www.lenovobenefits.com
