Enterprise AI & Cloud Solutions Architect

Amazon Web Services (AWS); Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

Amazon Web Services Hong Kong Limited seeks a Senior Solutions Architect to work with Hong Kong Enterprise customers across multiple industries, transforming businesses with AI and cloud technologies. You will assess portfolios, design cloud-native architectures, and partner with AWS teams to address business problems and accelerate adoption.

The role requires deep knowledge across AI, infrastructure, security, DevOps, data analytics, and communicating with CxOs and engineers.

Qualifications

• 8+ years of technology domain experience (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• 8+ years of design, implementation, or consulting in applications and infrastructures.
• 5+ years of technology/software sales experience.
• Knowledge of general AI tools.

Responsibilities

• Formulate and execute a sales strategy to exceed revenue objectives through AWS adoption.
• Build, migrate and modernize applications and services on AWS cloud and AI platform.
• Educate customers on AWS value and participate in deep architectural discussions for successful cloud deployment.
• Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or using AWS.
• Capture and share best-practice knowledge amongst the AWS Solutions Architect community.
• Contribute to AWS customer-facing publications such as white papers.
• Act as a technical liaison between customers, Service Teams and Support.

Skills

AI tools knowledge

Executive stakeholder communication

Cloud computing

Job description

Amazon Web Services Hong Kong Limited seeks a Senior Solutions Architect to work with Hong Kong Enterprise customers across multiple industries, transforming businesses with AI and cloud technologies. You will assess portfolios, design cloud-native architectures, and partner with AWS teams to address business problems and accelerate adoption.

The role requires deep knowledge across AI, infrastructure, security, DevOps, data analytics, and communicating with CxOs and engineers.