AI System Architect

Division : IT & Digital Intelligence Empowerment Division

In this position, you will:
• Responsible for the integration and introduction of AI foundational capabilities: Focus on in-depth research and integration of AI foundational capabilities, including AI algorithm models and data processing, ensuring the introduced AI capabilities are highly advanced and practical.
• Integrate the introduced AI foundational capabilities from the group or third parties into the company’s AI capability platform, ensuring these capabilities can serve various business departments and projects in a standardized and modular manner, enhancing overall AI application efficiency.
• Promote the application of AI technology in the field of internal digital employees, improving internal work efficiency and user experience, and assisting in the digital transformation of the enterprise.
• Regularly evaluate the effectiveness of AI technology applications. Identify issues and bottlenecks in AI applications by collecting and analyzing user feedback and business data, and propose corresponding optimization suggestions.

To be successful in this position, you should meet the following requirements:
• Education: Master’s degree or above in IT-related fields such as Computer Science, Mathematics, Communications, Automation, Information Systems, etc., preferred.
• Work Experience: 5 years or more of work experience. Experience with large language models is preferred.
• Technical Experience:
• Experience in designing and operating AI systems using AI technologies (including but not limited to machine learning, deep learning, natural language processing), with the ability to detail project scale, challenges, and solutions.
• Ability to integrate AI technologies into existing systems or platforms using microservices architecture, containerization technologies (e.g., Docker), cloud service platforms (AWS, Azure, GCP), and AI platforms (e.g., TensorFlow Serving, MLflow). Ensure the standardization, modularization, scalability, and maintainability of AI services after decoupling AI capabilities and introducing them into the platform.
• Experience in building a complete AI platform and technical system from scratch, with a data-driven innovation system and methodology.
• Possession of at least one professional certification or training certificate closely related to machine learning, deep learning, or natural language processing, such as AWS Machine Learning Specialty, AWS Solutions Architect Associate, AWS Developer Associate, or National Senior Engineer Certification (one of the three).