Sr. Engineer, AI Solutions Architect

Summary:

Lenovo is seeking a highly experienced and visionary Sr. Engineer, 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.
• 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.
• Familiarity 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).
• Hands-on experience with multimodal models.