Ai架构师（外企-驻场）

Job Summary As an AI Architect for automotive manufacturing, you will end to end design, build and scale AI solutions covering industrial data infrastructure, computer vision, machine learning and LLMbased Agent applications for truck & vehicle production lines. You collaborate with manufacturing engineering, MES, SAP, SCADA business teams and local software engineers to translate shopfloor pain points into productiongrade AI architectures, drive technical roadmap, select tech stacks, lead POCtoproduction delivery, and ensure system stability, performance and maintainability for factory operations. Key Responsibilities 1. AI System Architecture DesignDesign overall technical architecture for factoryoriented AI systems, including industrial data pipeline, feature engineering, model training & inference serving, edgecloud collaborative deployment. Balance latency, throughput, cost, maintainability to meet automotive manufacturing productiongrade SLA requirements. 2. Industrial Computer VisionLead architecture for visual inspection usecases: component defect detection, assembly verification, part positioning & OCR for production lines. Design CUDAbased edge inference solution, work with camera, PLC, SCADA and MES interfaces to push AI decision results back to manufacturing execution systems. 3. Machine Learning for ManufacturingArchitect traditional ML pipelines for predictive quality, equipment predictive maintenance, production anomaly detection, yield optimization. Manage data labeling, dataset versioning, model experiment tracking, offline evaluation and online monitoring in factory scenarios. 4. Large Language Model & LLM AgentDesign and implement LLMpowered Agent solutions for manufacturing: shopfloor knowledge Q&A, maintenance troubleshooting agent, production log analysis agent, automated incident handling for IT & manufacturing tickets. Architect RAG workflow, tool calling, prompt engineer

计算机、人工智能、数据科学或相关理工科本科及以上学历；6 年及以上 AI 架构与落地交付经验，2 年及以上汽车 / 离散制造业一线实操经验。 具备计算机视觉、传统机器学习、LLM 智能体三类方向的架构经验，有从 0 到 1 搭建可上线 AI 系统的成功案例。 精通计算机视觉技术栈：OpenCV、PyTorch/TensorRT、CUDA 边缘推理，有工业相机、边缘 GPU 部署实战经验。 LLM 与 Agent 落地经验扎实：RAG、工具调用、智能体编排、提示词调优、模型微调 / 量化、开源大模型部署。 熟悉制造系统生态：MES、SCADA、PLC、工业数据链路；了解整车装配车间生产流程优先。 熟悉 MLOps 工具链：模型仓库、实验追踪、推理服务、数据版本管理；能够设计边云混合 AI 部署方案。 优秀跨团队沟通能力，可把业务需求转化为技术架构；英文读写流利、口语通畅，支持跨区域协作。 优先条件 有汽车产线视觉检测、预测性维护或工厂 LLM 智能体项目落地经验。 有 AI 模块对接 APRISO MES、SAP PP/MM、Ignition SCADA 或同类制造平台的集成经验。 有多工厂 AI 方案规模化推广落地经验。 熟悉工业网络安全、制造行业 IT 合规标准。