AI Lead / Architect up to 85k

Pathsight Limited

Hong Kong

On-site

HKD 1,200,000 - 1,800,000

Full time

14 days+
Application generator

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Job summary

Pathsight Limited is seeking a senior AI architect to design and drive the company’s AI application architecture and technical roadmap in Hong Kong. You will evaluate leading AI technologies and establish unified standards to enable scalable, multi-scenario deployments.

You will lead PoC verification, solution design, and large-scale implementation while coordinating with business teams to identify AI use cases and quantify ROI. Strong expertise in LLM stacks and microservices is required.

Qualifications

  • Bachelor’s degree or above in Computer Science, AI, Software Engineering or related majors.
  • 5+ years of software architecture or technical management experience, with 3+ years AI project experience.
  • Proficient in mainstream LLM stacks (GPT, Claude, Tongyi Qianwen, etc.) and practical logic.
  • Familiar with Agent framework technologies with project implementation exposure.
  • Master core AI development: API integration, RAG, fine-tuning and prompt engineering.
  • Familiar with enterprise system integration and API design, with microservices experience.

Responsibilities

  • Design and iterate the company’s AI application architecture and technical roadmap.
  • Evaluate, select and introduce cutting-edge AI technologies and set unified standards.
  • Build scalable AI architectures for rapid multi-scenario deployment.
  • Identify AI application scenarios with business teams across units.
  • Lead full technical lifecycle: PoC, solution design, full-scale implementation.
  • Summarize best practices and enable cross-departmental reuse.
  • Establish metrics to quantify AI benefits like efficiency and cost reduction.
  • Monitor operation data, collect feedback, and optimize solutions.
  • Sort out transformation progress and ROI data, reporting to management.

Skills

AI architecture
LLM technologies
Agent frameworks
RAG
Prompt engineering
Microservices
API design

Education

Bachelor’s degree in Computer Science / related field

Tools

GPT family
Claude
Tongyi Qianwen
Kimi AI

Job description

Design and iterate the company’s overall AI application architecture and technical roadmap, ensuring technical solutions align with business strategic goals.

Evaluate, select and introduce cutting-edge AI technologies including LLMs and Agent frameworks, and establish unified technical selection standards.

Build scalable and reusable AI application architectures to support rapid deployment and iteration of multi-scenario business applications.

Identify and mine AI application scenarios for office, production, business and management businesses in collaboration with business teams.

Lead the full technical lifecycle of AI projects, including PoC verification, solution design and large-scale business implementation.

Summarize AI application technical best practices and realize cross-departmental technical reuse and replication.

Establish AI application effect quantitative evaluation standards to measure efficiency improvement and cost reduction benefits.

Monitor AI application operation data, collect feedback, and continuously optimize technical solutions and application effects.

Sort out AI transformation progress and ROI data, and complete regular reporting to management.

Technical Requirements

Bachelor’s degree or above in Computer Science, Artificial Intelligence, Software Engineering or related technical majors.

5+ years of software architecture or technical management experience, with 3+ years of AI project practical experience.

Proficient in mainstream LLM technology stacks (GPT, Claude, Kimi, Tongyi Qianwen, etc.) and their practical application logic.

Familiar with mainstream Agent framework technologies with practical project implementation experience.

Master core AI application development technologies including API integration, RAG, model fine-tuning and prompt engineering.

Familiar with enterprise system integration and API design, with practical microservices architecture experience.

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