Sr. Solutions Architect, Solutions Architecture

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

This role is for a Senior Solutions Architect at AWS who will help customers adopt and implement GenAI and agentic AI solutions on the AWS platform. The role involves technical engagement, architectural guidance, and driving customer success with AI technologies, focusing on migration, modernization, and security.

What you'd actually do

  1. Serve as a key technical member of the Solutions Architecture team in enabling customers to build best practice, capabilities, and solutions on the AWS platform.
  2. Scope each customer engagement, with attention towards clear and well-defined objectives and success criteria.
  3. Own each technical enablement and engagement, and help ensure a timely and successful delivery of value.
  4. Capture and share best-practice knowledge amongst the solution architect community.

Skills

Required

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

Nice to have

  • 5+ years of infrastructure architecture, database architecture and networking experience
  • Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
  • Experience working with end user or developer communities
  • Experience managing relationships with SAP customers and partners
  • Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private
  • Experience in SAP clean core design concepts, including design and build using non-SAP technologies in domains such as Generative / Agentic AI, and data & analytics

What the JD emphasized

  • GenAI and Agentic AI adoption
  • Migration and Modernization
  • Security and Resilience
  • Customer Expansion
  • GenAI adoption strategies
  • AI/ML workloads