Senior Solutions Architect, Solutions Architecture

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

This role focuses on helping hi-tech and semiconductor companies adopt AWS services, with a significant emphasis on Generative AI and agentic AI solutions. The Senior Solutions Architect will bridge customer challenges with AWS capabilities, focusing on cloud modernization, compute-intensive workload architecture, and driving GenAI adoption for outcomes like AI-assisted chip design and intelligent automation. The role requires strong technical and customer-facing skills to engage with various stakeholders, from engineers to C-level executives.

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
  • Bachelor's degree in electrical engineering, computer engineering, or equivalent, or 6+ months of relevant technical position experience
  • Experience and literacy in Generative AI and its enterprise applications
  • Knowledge of a modern programming language (Python, Go, Java, C++) and/or scripting, Infrastructure as Code

Nice to have

  • Experience working with end user or developer communities
  • Knowledge of AWS services, market segments, customer base and industry verticals
  • Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
  • Experience in a technical role within a sales organization
  • Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent

What the JD emphasized

  • complex technical challenges
  • GenAI and agentic AI
  • cloud modernization
  • compute-intensive and memory-intensive workloads
  • frontend design (RTL, synthesis, simulation)
  • backend design (place and route, timing closure, signoff)
  • CAE/CAD product engineering
  • HPC orchestration
  • AI-assisted chip design and verification
  • intelligent automation
  • customer expansion
  • technical excellence
  • industry-specific reference architectures
  • customer-facing skills
  • technical background
  • chip designers
  • software developers
  • IT architects
  • C-level executives
  • digital transformation strategies
  • technical deep dives
  • executive-level discussions

Other signals

  • driving customer outcomes with generative AI solutions
  • architecting scalable solutions for demanding engineering workloads
  • customer-facing skills