Solutions Architect, Solutions Architecture

Amazon Amazon · Big Tech · Hong Kong · Solutions Architect

Solutions Architect for AWS Global Sales, focusing on enterprise customers. This role involves understanding customer business drivers, designing cloud-native architectures, and accelerating AWS adoption. The Solutions Architect needs broad technical competence across various domains including AI/ML and Generative AI, with deep expertise in 2-3 areas, and the ability to connect technology to business value.

What you'd actually do

  1. In partnership with the Business Development team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS
  2. As a key member of the solutions architecture team, ensure success in building, migrating and modernizing applications, software and services on the AWS platform
  3. Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
  4. Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS (i.e Dev Days or Immersion Days)
  5. Capture and share best-practice knowledge amongst the AWS Solutions Architect community

Skills

Required

  • 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 4+ years of design, implementation, or consulting in applications and infrastructures experience
  • 7+ years of IT development or implementation/consulting in the software or Internet industries experience

Nice to have

  • Experience working within software development or Internet-related industries
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev/ops perspective

What the JD emphasized

  • broadly competent across many areas of technology (infrastructure, security, DevOps, databases, application development, data analytics, AI/ML, Generative AI, Agentic AI)
  • deep in at least 2-3 of those areas
  • connect technology with measurable business value is critical