Sr. Engineer, AI Architect

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Lenovo is a US $83 billion revenue global technology powerhouse, ranked #153 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.

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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!

• 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.

• 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…