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AI Platform & Business AI Solutions Lead – Mobility Aftermarket

Robert Bosch Sp. z o.o. Shanghai, Chiny
Pełny etat Praca stacjonarna

Data publikacji: 29.08.2026

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.

Responsibilities

Leads the development and operation of enterprise AI platforms and knowledge systems supporting Bosch Mobility Aftermarket (MA) business; 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; 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; 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; 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; Ensure data privacy and compliance; Implement audit logs and traceability; Define guardrails for enterprise AI; Align AI governance with Bosch standards; 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

Requirements

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

Nice to have

Understanding of automotive or industrial business environments
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