C
China Mobile International Limited
AI Application Architect
Skills
MicroservicesAIBusiness Development
1 month ago
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Important information
Contract type:
Permanent
Location:
Hong Kong Island, Hong Kong
Work mode:
Onsite
Published on:
9 September 2026
What they need
- 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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