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AI Application Architect

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Onsite

AI Application Architect

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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