Senior Solutions Architect, Solutions Architecture

Amazon Amazon · Big Tech · TPE, Taiwan +1 · Solutions Architect

This role focuses on designing and implementing secure, compliant, and scalable cloud architectures for public sector customers in Taiwan, with a strong emphasis on Generative AI and Agentic AI solutions using services like Amazon Bedrock and Kiro. The Solutions Architect will act as a trusted technical advisor, guiding customers from discovery and design through to implementation and launch, while navigating complex regulatory and data sovereignty requirements.

What you'd actually do

  1. Act as a trusted technical advisor to public sector customers — including government agencies, education institutions, and healthcare organizations — designing secure, compliant cloud architectures that address mission-critical workloads and regulatory requirements.
  2. Lead technical discovery and solution design workshops with customer stakeholders (from technical teams to agency CIOs and senior government officials), defining clear objectives, success criteria, and architectural roadmaps.
  3. Drive hands-on proof-of-concept builds and architecture reviews, leveraging AWS services across Generative AI (Bedrock, Kiro), data & analytics, security & compliance, and application modernization to accelerate customer outcomes.
  4. Navigate complex public sector procurement and compliance landscapes, ensuring proposed solutions align with local regulatory frameworks including data residency, information security classifications, and sovereignty requirements.
  5. Collaborate cross-functionally with Account Managers, Specialist SAs, ProServe, and system integrator partners to deliver end-to-end solutions and ensure successful production launches.

Skills

Required

  • Cloud technologies (AWS)
  • Architecture design
  • Secure and compliant architectures
  • Generative AI
  • Agentic AI
  • Data sovereignty
  • Regulatory compliance
  • Customer-facing skills
  • Technical depth
  • Collaboration

Nice to have

  • Experience with AI/ML or generative AI use cases
  • Familiarity with public sector regulatory frameworks (e.g., data residency, information security classifications)
  • Ability to architect end-to-end solutions spanning data, AI, security, and modern application architectures

What the JD emphasized

  • regulatory requirements
  • data sovereignty
  • compliance
  • secure, compliant cloud architectures
  • local regulatory requirements
  • local regulatory frameworks

Other signals

  • Generative AI
  • Agentic AI
  • Amazon Bedrock
  • Amazon Kiro
  • data sovereignty
  • compliance
  • regulatory requirements