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AI Engineering Sr. Project Manager

Lenovo Beijing, China

IT Services and IT Consulting · 10,001+ employees

8 h ago
Mid (2-5 yrs) Full-time China
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About the role

The AI Engineering Sr. Project Manager will lead the planning and commercialization of full-stack AI customer service solutions, including AI Agents and intelligent voice systems. They will act as a bridge between business requirements and technical execution, ensuring high-quality delivery of AI-driven products.

What they look for

AI Agent Product Design SaaS Multi-Agent Architecture RAG Workflow Orchestration Function Calling Business Analysis PRD Writing LLM Customer Service Automation Project Management Technical Communication Business Logic Design

Requirements

Candidates must have a bachelor's degree or higher and 3-5 years of experience in ToB commercial product design, specifically within SaaS or intelligent customer service. A deep understanding of AI Agent architectures, RAG, and LLM capabilities is required to effectively collaborate with engineering teams.

Full description

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).

To find out more visit www.lenovo.com and read about the latest news via our StoryHub.

Description and Requirements

【岗位职责】

  • 需求梳理与商业化产品设计: 深度参与 CSAS 全栈客服AI解决方案(如“Lights-Out”无人化联络中心、智能语音/BI Agent等)的规划。负责 ToB 客户的需求拆解,完成目标客户画像(ICP)定义、产品原型设计、版本规划及商业化落地,搭建连接市场需求与技术执行的桥梁。
  • AI 场景落地与行业方案输出: 聚焦企业服务、智能客服及办公自动化等垂直领域,深度挖掘业务痛点,输出标准化、可复制的行业级 AI Agent 解决方案。
  • Agent 业务逻辑与蓝图设计: 深度理解底层 AI Agent 技术,输出清晰的 Agent 流程蓝图(Workflow Blueprints)、角色设定(Personas)和任务流转链路(Task Chains)。设计多智能体协同、RAG(检索增强生成)及工具调用(Tool-Calling)的实际业务交互逻辑。
  • 技术边界与研发协同把控: 作为业务与研发的桥梁,清晰认知大模型(LLM)与 Agent 技术的边界与能力上限。在产品设计中有效平衡客户期望、产品需求与研发实现成本,确保项目高可用交付。

【岗位要求】

  • 经验背景: 本科及以上学历,具备 3-5 年以上 ToB 商业化产品设计经验,熟悉 SaaS、企业服务、智能客服或办公自动化(OA)类产品的业务逻辑和架构体系。
  • AI 核心认知: 深度理解 AI Agent、多智能体(Multi-Agent)架构、RAG(检索增强生成)、工作流编排(Workflow)以及 Function/Tool Calling 的业务逻辑和实现原理。
  • 业务拆解能力: 具备极强的复杂业务场景抽象能力和逻辑思维,能够熟练输出高质量的业务流程图、原型图及产品需求文档(PRD)。
  • 懂技术边界: 熟悉当前主流大模型的能力上限,具备出色的成本意识,能与解决方案架构师和研发团队(FDE)高效对话,在技术可行性与商业价值之间找到最佳平衡。
  • 加分项: 曾有过实际的客服智能化、自动化工单处理、或大模型赋能的 ToB 平台从 0 到 1 成功落地经验者优先。

Additional Locations:

* China

General Information

Req #

100017508

Career area:

Artificial Intelligence

Country/Region:

China

State:

Beijing

City:

北京(Beijing)

Date:

Wednesday, August 19, 2026

Additional Locations:

* China