AI/ML Cloud Delivery Architect

Amazon; Hong Kong; On-site; HKD 500,000 - 900,000; Full time

Job summary

Amazon Web Services Hong Kong Limited is seeking a Delivery Consultant to join the ProServe team in Hong Kong. You will design, implement, and manage AWS AI/ML solutions for customers, guiding migration strategies and ensuring secure, scalable architectures.

You will collaborate with stakeholders, provide technical guidance, and share knowledge through mentoring and artifacts, contributing to customer success in their cloud journey.

Qualifications

• 3+ years of cloud architecture and solution implementation experience.
• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
• 5+ years of working with Data & AI related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage experience.
• Experience leading the architecture and design of systems, or mentoring/tech lead experience.

Responsibilities

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Providing technical guidance and troubleshooting support throughout project delivery
• Collaborating with stakeholders to gather requirements and propose effective migration strategies
• Acting as a trusted advisor to customers on industry trends and emerging technologies
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

Skills

AI/ML

Cloud architecture

Solution design

Mentorship/tech lead

Non-technical communication

Education

Bachelor's degree in Computer Science or related field

Tools

Python

C/C++/Java

PowerShell

Job description

Amazon Web Services Hong Kong Limited is seeking a Delivery Consultant to join the ProServe team in Hong Kong. You will design, implement, and manage AWS AI/ML solutions for customers, guiding migration strategies and ensuring secure, scalable architectures.

You will collaborate with stakeholders, provide technical guidance, and share knowledge through mentoring and artifacts, contributing to customer success in their cloud journey.