AI Application Architect

China Mobile International Limited
Hong Kong, Hong Kong SAR
Salary not specified
Posted
Full-time
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Job Description

- Develop the company's overall AI application architecture and evolution roadmap, ensuring technical solutions align with business strategy - Evaluate and introduce cutting-edge AI technologies (LLMs, Agents, Agent frameworks, etc.) and establish technical selection standards - Design scalable and reusable AI application architectures to support rapid deployment across multiple scenarios - Work closely with business units to identify AI empowerment opportunities in daily office work, production operations, business development, and management - Lead the full lifecycle of AI application scenarios from PoC validation, solution design to scaled implementation - Build a library of AI application best practices and promote cross-departmental knowledge reuse - Lead the AI application team, providing technical guidance and capability development for team members - Conduct AI tool training and workshops for all employees to enhance overall AI literacy - Establish an AI application community to foster internal knowledge sharing and collaborative innovation - Establish an AI application effectiveness evaluation system to quantify efficiency improvements and cost savings - Continuously monitor AI application usage, collect feedback, and iterate for optimization - Regularly report AI transformation progress and ROI analysis to senior management Technical Skills - Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related fields - 5+ years of software architecture or technical management experience, with 3+ years of AI-related project experience - Proficient in mainstream LLM technology stacks (such as GPT, Claude, Kimi, Tongyi Qianwen, etc.) and their application patterns - Familiar with Agent frameworks and technologies, with hands-on implementation experience preferred - Master AI application development technologies (API integration, RAG, Fine-tuning, Prompt Engineering, etc.) - Understand enterprise system integration and API design, with microservices architecture experience

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