Description
The role is responsible for designing and implementing an industrial equipment interconnection and data-platform architecture, including data acquisition, protocol adaptation, data cleaning, time-series storage, data governance, and data middle-platform capabilities. It also leads the productization of manufacturing AI agents for equipment operations, process optimization, anomaly diagnosis, and quality analysis, using large models, agent workflows, tool calling, RAG, and multi-agent collaboration. The position requires graduate-level education in a relevant technical field, at least three years of industrial Internet product or industrial data-platform architecture experience, and strong expertise in industrial protocols, data platforms, AI agents, and manufacturing scenarios.
