伊顿中国
IT AI Project Lead
IT AI Project Lead
发布于 大约 1 小时前中层管理(经理/总监)
上海市
高级经验
全职员工
仅现场办公
本科
技术管理
Agentic Ai
Azure Ai
Pytorch
Rag
Tensorflow
技术领导
机器学习
生成式Ai
项目管理
AI 估算 · 40k–65k
资深AI管理岗，要求10年经验且技术栈复杂，跨国企业薪资竞争力强，上海生活成本高，月薪4-6.5万合理。
职位详情
关于这个职位
这是一个在伊顿中国上海办公室的AI项目负责人职位，负责AI解决方案的端到端设计、开发、部署与集成，涵盖生成式AI、机器学习、计算机视觉等
你将主导技术架构与项目管理，协调跨部门团队，并与业务方紧密合作推动AI落地
职位要求深厚的技术功底和10年以上IT经验，适合有AI实战经验的技术领导者
最低要求
Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related field.
Minimum of 10 years of experience in IT, including at least 5 years specializing in AI, Machine Learning, Data Science, or related areas.
Proven track record in identifying AI use cases and translating business requirements into scalable AI solutions.
Hands-on experience designing and developing front-end and back-end components for AI applications.
Experience with AI platforms and solutions such as Microsoft Azure AI Services, Palantir, Snowflake, and local AI models or services such as DeepSeek and Qwen.
Proven experience successfully leading AI projects in a global or multinational organization.
Technical Knowledge and Skills:
Deep understanding of AI technologies, including Machine Learning, Natural Language Processing, Computer Vision, Data Analytics, Retrieval-Augmented Generation, and Agentic AI.
Strong experience with cloud and hybrid infrastructures.
Proficiency in front-end technologies such as React or Angular, and back-end technologies such as Node.js, Python, and .NET.
Strong understanding of AI and Machine Learning frameworks such as TensorFlow and PyTorch.
Proficiency in scripting, automation, and data tools, including Python, SQL, JavaScript, PowerShell, and Azure CLI.
Expertise in cloud-native development, particularly within the Microsoft Azure and Alibaba Cloud technology stacks.
Strong understanding of data architecture, model integration, API integration, system architecture, and enterprise application integration.
Familiarity with regulatory requirements and data privacy standards in China.
Competency:
Strong strategic thinking, analytical, and problem-solving skills, with the ability to translate complex business challenges into scalable and practical AI solutions.
Demonstrated technical leadership and ownership, with the ability to drive AI initiatives from concept to deployment while balancing business value, technical feasibility, security, and scalability.
Strong stakeholder management, communication, and influencing skills, with the ability to build alignment and drive decisions across business, IT, vendors, and leadership teams.
Proven ability to manage multiple priorities, complex projects, and cross-functional stakeholders in a fast-paced and matrixed environment.
Ability to navigate ambiguity, adapt to evolving technologies, and make sound data-driven decisions in a rapidly changing AI landscape.
Passion for innovation and continuous learning, with a strong sense of accountability, execution excellence, and commitment to delivering business outcomes.
工作职责
Key Responsibilities:
Drive AI Solution Deployment
Maintain Eaton China’s Microsoft Azure AI Services environment to support AI capabilities and initiatives in China.
Independently design end-to-end AI solutions, including data architecture, model selection, integration patterns, deployment strategy, and operational support model.
Develop solution architectures for Generative AI, Machine Learning, Computer Vision, Predictive Analytics, Retrieval-Augmented Generation, and Agentic AI use cases based on business requirements.
Lead the development and integration of front-end and back-end components for AI-powered platforms, including APIs, user interfaces, data integration, and system connectivity.
Collaborate with IT Business Relationship Managers and business stakeholders to identify high-impact AI use cases and translate business needs into clear, actionable technical requirements.
Deploy Eaton’s standard AI solutions to address business needs, ensuring alignment with enterprise architecture, operational objectives, security standards, and local regulatory requirements.
Lead the deployment and integration of AI applications and platforms, ensuring compliance with local regulatory requirements, data privacy standards, and enterprise technology standards.
AI/ML Technology and Vendor Evaluation
Lead the technical evaluation of AI/ML vendor solutions, solution architectures, and implementation approaches to ensure alignment with business objectives and enterprise standards.
Assess vendor proposals, technical designs, and proof-of-concept results, and provide recommendations on feasibility, scalability, security, performance, maintainability, and total cost of ownership.
Provide technical guidance and support to application owners throughout AI solution design, development, deployment, and operational support.
Project Delivery
Manage multiple AI projects simultaneously, ensuring delivery on time, within scope, and within budget.
Coordinate cross-functional teams, including IT, Engineering, Operations, Supply Chain, and other business functions, to ensure successful project execution and adoption.
Identify and mitigate risks associated with AI projects, including technical, integration, security, data privacy, stakeholder, and delivery risks.
Implement corrective actions as needed and provide clear communication on project progress, risks, dependencies, and technical recommendations.
Innovation and Continuous Improvement
Stay current with emerging AI trends, technologies, and best practices to drive innovation across the organization.
Foster a culture of continuous improvement by encouraging experimentation, learning, knowledge sharing, and practical application of AI technologies.
Collaborate with global AI teams to share best practices, leverage existing solutions and drive continuous improvement.
优先资格
Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or a related discipline is preferred.
Experience with AI and data platforms such as Palantir and Snowflake is an advantage.
Experience evaluating AI/ML vendor solutions, proof-of-concepts, technical architectures, and implementation approaches is strongly preferred.
AI 洞察
优缺点分析
优点
- 跨国巨头企业，平台大、资源多，能接触到全球领先的AI实践和顶级供应商
- 职位覆盖面广，从技术到管理均有涉及，能快速提升综合能力
- AI领域为核心发展方向，职业前景广阔，薪资竞争力强
- 工作内容包含创新和持续改进，有助于保持技术前沿敏感度
- 对技术栈要求全面（前端、后端、云、ML），需要不断学习以保持竞争力
- 适合拥有深厚AI技术背景，且愿意转型为技术管理者、具备较强领导力和沟通能力的资深人才
缺点 / 挑战
- 职责范围大，需要同时处理技术、项目管理、供应商和多方协调，工作强度可能较高
- 矩阵式组织环境复杂，跨部门推动项目可能遇到沟通和协作的挑战
角色解读
- 可在技术管理路线上升级为AI部门负责人或首席架构师，负责更大范围的AI战略
- 也可横向拓展至全球AI团队，主导跨国项目，积累更丰富的行业经验
- 随着企业数字化转型深入，有机会成为智能管理领域的专家，向CTO或首席数据官方向迈进
- 负责AI解决方案的端到端设计与交付，包括架构设计、模型选型、部署策略和运营支持，确保符合企业架构和安全标准
- 主导生成式AI、机器学习、计算机视觉等场景的落地，参与前端和后端开发，实现AI平台的功能集成
- 评估和管理AI/ML供应商方案，进行技术选型、POC验证和成本效益分析，并向管理层提供决策建议
- 同时管理多个AI项目，协调IT、工程、运营等跨职能团队，控制进度、风险与预算，推动项目成功落地
- 精通Azure AI服务和阿里云等云原生技术栈，熟悉混合云基础设施
- 掌握Python、Node.js、.NET等后端及React/Angular等前端技能，能独立开发AI应用
- 深入理解机器学习、NLP、RAG、Agentic AI等前沿技术，并具备实际落地经验
- 具备优秀的项目管理、供应商评估和跨部门协作能力，能影响利益相关者并推动决策
申请策略
- 了解伊顿的业务（智能电力管理、数据中心等），思考AI在这些场景的具体应用方向，在面试中体现业务敏感度
- 准备1-2个详细的AI项目案例，说明你在架构设计、技术选型和团队领导中的角色
- 重点突出10年IT及5年AI相关经验，特别是主导过的AI项目从0到1的完整落地案例
- 强调在云平台（Azure、阿里云）上的架构设计经验，以及生成式AI、RAG等具体项目实施
- 展示同时管理多个项目、协调跨部门团队的经历，用量化成果（如成本节省、效率提升）证明价值
- 列出熟悉的前后端技术栈和AI框架，体现技术广度与深度
- 若对Agentic AI或RAG了解不深，可提前学习相关框架和应用场景，掌握最新趋势
- 补充或强化云原生与容器化技能（如Kubernetes），有助于云上AI部署
面试指南
- 针对项目案例，用STAR法则（情境-任务-行动-结果）清晰陈述，强调你的具体贡献和量化结果
- 评估供应商时，从业务目标、技术可行性、安全性、成本、可维护性等维度建立评分矩阵，用事实和数据支撑决策
- 回答管理问题时，突出你的沟通策略、利益相关者分析和分阶段推进方法，体现系统性思考
- 请介绍一个你主导的AI项目，从需求分析到落地的完整过程，遇到了哪些挑战？
- 如何评估一个AI供应商的解决方案？你会从哪些维度比较？
- 在跨国组织中进行项目管理，如何处理文化差异和沟通障碍？
- 对于生成式AI，你会如何设计一个适用于中国市场的合规架构？
- 你如何平衡技术前沿性和企业稳定性？请举例说明
职位点评
73
综合评分
跨国企业资深AI技术管理岗，技术前沿，薪资优厚，但工作生活平衡可能较弱。
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
更适合这类人
这个职位最适合追求技术成长和职业发展、愿意承担管理责任、能适应现场快节奏工作的资深AI人才。
表现最好
成长发展
相对薄弱
工作生活
薪资福利80
成长发展90
工作生活40
使命价值70
薪资福利
80较高
该职位为跨国企业资深管理岗，薪资水平有竞争力，但JD未明确福利细节，属于市场水准偏上。
薪资信号未披露（AI估算：40K-65K/月）
成长发展
90较高
职位涉及前沿AI技术，提供与全球团队协作的机会，能显著提升技术与管理能力，但JD中未明确提及晋升路径。
技术前沿前沿/新兴技术
技术栈Azure AI、生成式AI、机器学习、RAG、Agentic AI、TensorFlow、PyTorch、阿里云
成长机会continuous improvement、innovation
业务类型ambiguous
工作生活
40较低
职位地点在上海，且未提及远程或弹性工作，需现场办公，结合管理职责可能面临较大工作强度，工作生活平衡一般。
工作模式仅现场办公
办公地点未明确
加班情况未提及（无法判断）
使命价值
70中等
伊顿作为智能电力管理公司，以保护环境和提升生活品质为使命，AI岗位能助力企业数字化转型，但社会影响力相对中性。
行业发展稳定成熟行业
社会影响中性/一般
使命信号protecting the environment、improving the quality of life
创新程度积极采用新技术
伊顿中国 的其他在招职位
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