AI solution architechture

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Why Work at Lenovo

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

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. 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).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Job Responsibilities

1. AI Architecture Strategy & Governance

  • 制定企业级 AI 技术架构和演进路线图。
  • 设计 Agent、Skill、Workflow、MCP 等核心架构体系。
  • 建立 AI 技术标准、安全规范和治理框架。
  • 推动 AI 平台能力在多个业务领域复用。

2. Agent Platform Architecture Design

  • 设计并建设 Agent Runtime、Agent Orchestrator 及多 Agent 协同架构。
  • 推动 Agent 与 ERP、自开发系统及第三方平台集成。
  • 设计人机协同(Human-in-the-Loop)闭环执行模式。
  • 建立 Agent 生命周期管理机制。

3. AI Application & Solution Design

  • 主导复杂业务场景 AI 方案设计。
  • 将业务需求转化为可落地的 Agent 和 Skill 能力。
  • 负责 AI 产品架构评审和技术决策。
  • 推动 AI Native 产品创新及规模化应用。

4. AI Technology Innovation

  • 研究 Agent、LLM、RAG、多智能体等前沿技术。
  • 推动新技术 PoC 和技术验证。
  • 输出最佳实践和技术资产。
  • 培养 AI 架构与工程能力,推动团队转型升级。

Job Requirements

  • 本科及以上学历,计算机、软件工程、人工智能相关专业。
  • 5年以上企业应用架构设计经验。
  • 3年以上 AI、大模型或智能体相关实践经验。
  • 熟悉企业级应用架构和系统集成设计。

Preferred Qualifications

  • 熟悉 Agent Framework(LangGraph、Semantic Kernel 等)。
  • 熟悉 RAG、Embedding、Vector DB、MCP 等技术。
  • 熟悉 SAP、ERP、自开发系统架构。
  • 具备大型企业数字化转型经验。
  • 具备全球团队协作经验。