Principal Engineer, AI Architecture

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

Lenovo's Advanced AI Technology Center (AAITC) is the global engine powering our hybrid-AI vision. As Lenovo's AI Center of Excellence, we're building a world-class team to define the next era of computing-powered by AI.

With Lenovo's unmatched product ecosystem-spanning Moto smartphones and wearables, ThinkPad laptops, PCs, workstations, servers, and cloud-we have a unique platform to experiment, deploy, and scale AI across every layer of technology. Few companies can match the breadth of our canvas.

We're tackling some of the most exciting challenges in AI:

• Scaling and deploying foundation models in real-world environments

• Advancing agentic computing across mobile, edge, and cloud

• Seamlessly orchestrating intelligent systems to collaborate everywhere

This is a generational shift-and we're moving fast. At AAITC, you'll join a team of bold innovators building transformative platforms at the intersection of AI and real-world impact. If you're ready to push boundaries and help shape the future of hybrid AI, this is where you belong. Let's build what's next-together.

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 (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:

• 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.
• 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)