AI Engineer
Builds, integrates and ships the AI solutions for one initiative squad.
Location:
Hong Kong
Purpose
AI Engineers are the build engine of the squads. Each squad has two, working to the squad Product Owner and to the central architecture and governance standards. This is a hands-on delivery role: building, integrating and shipping working AI solutions against the squad's prioritised backlog. Specific deliverables and milestones will be agreed with the squad Product Owner on joining.
Key Responsibilities
- Build, integrate and deploy AI/ML solutions against the squad backlog and the central reference architecture.
- Work hands-on across the solution lifecycle — data preparation, model / pipeline build, integration, testing and deployment.
- Apply the central governance and architecture standards in delivery rather than treating them as separate overhead.
- Collaborate closely with the squad Product Owner to validate that what is built solves the framed business problem.
- Contribute to design and code review within the squad, raising quality without slowing delivery.
- Surface technical risk and delivery blockers early to the Product Owner and AI Architect.
Essential Experience
- 3+ years building production GenAI, Agentic AI or ML systems(not solely research or notebooks).
- Strong programming skills(Python typically) and solid data engineering fundamentals.
- Hands-on experience
taking at least one AI/ML or GenAI solution from build to a deployed / used state.
- GenAI / LLM
application experience ( RAG, orchestration, evaluation).
- Cloud ML tooling experience (AWS, Azure or GCP).
- Comfortable working within architecture and governance standards rather than around them.
- Collaborative delivery style suited to a small squad working at pace.
- Financial services, insurance or other regulated-domain exposure.
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.