AI Empowerment Lead

Position Direction: AI Product / Enterprise AI / AI Platform Responsibilities 1. Drive the overall AI empowerment strategy and AI middle platform construction for the company, formulating enterprise-level AI application development plans and implementation roadmaps. 2. Deeply engage with business departments to identify AI application opportunities in scenarios such as product, R&D, operations, risk control, customer service, and management. 3. Promote the application of technologies such as LLM, AI Agent, RAG, and Workflow in actual business, bridging the gap between AI technology and business scenarios. 4. Oversee the construction of enterprise-level AI platforms and general capabilities, including model integration, tool integration, agent orchestration, knowledge bases, permission management, and effectiveness evaluation. 5. Drive AI products from demand analysis, solution design, prototype validation to large-scale implementation, forming reusable enterprise-level AI capabilities. 6. Establish AI project evaluation and effectiveness measurement mechanisms, measuring AI input-output through indicators such as efficiency improvement, cost optimization, and business growth. 7. Coordinate R&D, product, data, and business teams to promote AI projects from pilot to large-scale application. 8. Build an AI innovation culture, promoting the use of AI tools within the company and enhancing employees' AI capabilities. Requirements 1. Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Information Management, or related fields. 2. Over 8 years of experience in the internet, technology, or fintech industry, with experience in AI product management, enterprise-level AI platforms, or AI commercialization. 3. Possess mature product thinking and business understanding, able to translate complex business problems into practical AI products and solutions. 4. Familiar with technologies and typical application scenarios such as large models, RAG, AI Agent, MCP, and workflow automation; deep algorithm research is not required, but sufficient technical understanding is necessary. 5. Complete implementation experience in enterprise-level AI middle platforms, internal AI tool platforms, or cross-departmental AI empowerment projects. 6. Strong product planning, project management, organizational coordination, and team management skills. 7. Continuous attention to the AI industry, with keen judgment on the commercialization of new technologies. 8. Interest or relevant experience in Web3, blockchain, and digital asset industries is a plus.