AI Platform & Business AI Solutions Lead… at Robert Bosch · Shanghai

companyDescription Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. jobDescription This role leads the development and operation of enterprise AI platforms and knowledge systems supporting Bosch Mobility Aftermarket (MA) business. The position requires a strong combination of AI platform expertise and business understanding, particularly in automotive aftermarket operations, enterprise processes, and business knowledge systems. The candidate will work closely with business stakeholders to design AI solutions that support decision-making, knowledge access, and operational efficiency across MA business functions such as sales, supply chain, product data, service knowledge, and enterprise processes (O2C, S2P, master data, etc.). While deep AI engineering expertise is required, the role also requires the ability to translate business knowledge into scalable AI systems. 1. AI Platform & LLMOps Ownership Define and implement AI deployment and monitoring standards. Build and manage CI/CD pipelines for AI systems. Monitor model performance, drift, hallucination, and system reliability. Define rollback and human-in-the-loop strategies. 2. Knowledge Base & RAG Architecture Design and manage enterprise knowledge platforms supporting Mobility Aftermarket business operations. Implement and optimize Retrieval-Augmented Generation (RAG) systems integrating business documentation, product knowledge, and enterprise process knowledge. Define document ingestion pipelines for technical, product, and business data sources. Collaborate with business teams to structure knowledge for AI-powered decision support and knowledge assistants. Continuously improve relevance, accuracy, and business usability of AI responses 3. AI Quality Engineering & Testing Define AI testing frameworks (functional + non-functional). Implement: Prompt evaluation, Output validation, Regression testing for agents, Defect tracking for AI behaviors Measure AI system reliability using structured KPIs. 4. Agent Lifecycle Management Train, fine-tune, and evaluate AI agents supporting business workflows and enterprise knowledge access. Work closely with business users and domain experts to improve AI accuracy. Manage feedback loops from operational teams. Improve answer relevance for business queries, product information, and operational processes. Ensure explainability and traceability of AI decisions in enterprise environments. 5. Responsible AI & Governance Ensure data privacy and compliance. Implement audit logs and traceability. Define guardrails for enterprise AI. Align AI governance with Bosch standards. 6. Innovation Enablement Identify new AI enablement tools and technologies applicable to Mobility Aftermarket business scenarios. Standardize reusable AI patterns for business knowledge assistants and enterprise AI applications. Support PoCs addressing real business problems in sales, supply chain, product knowledge, and service operations. Collaborate closely with Principal AI Architect and business stakeholders. qualifications Required Experience and Qualification Business & Domain Awareness Understanding of automotive or industrial business environments (preferred). Experience working with enterprise processes such as Order-to-Cash (O2C), Source-to-Pay (S2P), Supply Chain, or Master Data. Ability to translate business knowledge into AI-driven knowledge systems. Experience supporting business-facing AI platforms or knowledge assistants. Strong stakeholder communication skills across technical and business teams. 5-10 Years of experience in AI Engineering & Platform Knowledge Experience with: LangChain / LangGraph / GraphRAG, Vector databases, RAG architectures, LLM evaluation frameworks Experience in: MLOps / LLMOps, CI/CD for AI, Model monitoring, Drift detection Automation & DevOps Experience building scalable pipelines. Strong Python skills. Knowledge Systems Thinking Experience designing enterprise knowledge bases. Understanding of embedding strategies. Retrieval optimization and evaluation metrics. 博世集团网上招聘数据处理同意声明 个人信息及目的：你的如下个人信息将被处理并用于招聘：姓名、电子邮箱、电话号码、所在地区、经验和教育信息、简历等应聘者自主提交的附件信息、证件号、职位、部门、计划入职日期、劳动合同持续时间、工作地点、月薪、年薪、浮动奖金比例、餐贴、车贴。 博世将依据相关的数据保护法规，在全球范围内对您的数据进行保密。招聘流程中，您的个人信息只有在必须时才会被提供给博世以外的第三方机构(如代理机构)。博世精心挑选了第三方机构并与之签订了保密合同。博世采取了种种保密措施以保护您的数据，确保其不会遭受操纵、丢失、破坏、未经授权的访问或泄漏。我们的安全措施将随着新技术的应用而不断升级。您的本地浏览器和我们的人才招募系统之间的数据传输通过https加密。 特定职位申请：申请博世集团的职位就意味着您将自己的个人信息提供给博世集团旗下相应的法律实体（具体请见博世集团法人清单）。请注意，若有任何文件或资料变更，请在所有申请书里一并变更。人力资源部门的员工可能与您联系，询问您是否同意将您的求职申请转向博世集团内部另一合适职位。如果您申请了特定职位，那么只有在您同意的情况下，博世才会将您的求职申请转向另一职位。 您可以随时撤回求职申请，博世将根据相关法律删除您的个人信息。与您的申请相关的所有资料将被保留至24个月。您的权利：若您希望停止向博世提供您的个人信息，可联系我们或通过博世网上招聘数据隐私声明中的BKMS系统提出申请。您可以在SmartRecruiters平台查阅和修改您的简历。您对您的个人信息的处理享有知情权、决定权，您有权限制或者拒绝我们对您的个人信息进行处理。您还可以更正、补充您的个人信息。 跨境传输：为了实现前述目的，我们所收集的您的个人信息可能会在多个国家或地区间进行跨境转移，例如德国、新加坡。 德国：罗伯特-博世有限公司（德国格宁根市罗伯特博世广场1号（Robert-Bosch-Platz 1, Gerlingen-Schillerhohe, Germany，邮编：70839），用于集团统一招聘管理（博世中国与数据接收方均基于该目的开展数据出境活动； 英国：SmartRecruiters（英国伯克郡温莎亚瑟路圣斯蒂芬大厦 邮政区码: SL4 1RU），用于招聘、后期交流联系及分享职位/活动信息、潜在人才社区邀请。 您可通过上述联系方式依法向境外接收方行使您在个人信息处理活动中的权利。 存储您的个人信息：我们将仅在为实现目的必要的范围内以及法律法规要求的时间内保留您的个人信息。 雇佣：被雇佣后，您提供的数据将被从当前招聘系统转移至职位所属公司的人力资源管理系统。联系方式： 请通过访问博世中国官方主页：博世在中国＞加入博世＞工作机会，在网上招聘数据隐私声明中“9.联系方式” 博世集团法人清单： 请通过访问博世中国官方主页：博世在中国＞加入博世＞工作机会，在网上招聘数据隐私声明中获取现阶段使用网上招聘系统的博世集团法人（第五页） additionalInformation