Amazon Web Services Taiwan Limited
Hi-Tech & Semiconductor
SeniorSolutionsArchitect,SolutionsArchitecture
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“Senior Solutions Architect, Solutions Architecture at Amazon Web Services Taiwan Limited. Skills: Solutions Architecture, Cloud Modernization, GenAI, AI/ML. Serve as technical member. Enable customers build capabilities”
What You'll Achieve.
Innovate faster; Enable innovation; Drive revenue; Drive adoption; Drive growth; Shape strategy; Deliver strategy; Build mind share; Broad use of AWS services; Accelerate cloud adoption; Successful delivery of value
Industry & Context.
Complex technical challenges
Customer locations presence
What They're Looking For.
Must Have
8+ years technology domain experience, 3+ years design/implementation/consulting experience, 10+ years IT development/implementation/consulting experience, Bachelor's degree or 1+ years relevant experience, Generative AI and enterprise applications experience, Modern programming language or scripting experience
Nice to Have
Experience with end user communities, Experience with developer communities, Knowledge of AWS services, Knowledge of AWS market segments, Knowledge of AWS customer base, Knowledge of AWS industry verticals, Communicate across technical audiences, Communicate across non-technical audiences, Communicate to executive level stakeholders, Communicate to clients, Technical role in sales organization experience, Present to C-level executives, Present to IT, Present to lines of businesses
What You'll Do.
Serve as technical member
Enable customers build capabilities
Scope customer engagement
Define success criteria
Own technical enablement
Ensure successful delivery
Capture best-practice knowledge
Share best-practice knowledge
Drive customer success
Provide technical guidance
Engage with executives
Engage with engineering teams
Lead modernization initiatives
Design cloud-native architectures
Conduct Well-Architected Reviews
Facilitate Immersion Days
Collaborate on customer expansion
Impact customer outcomes
Modernize infrastructure
Transition to cloud-native architectures
Architect scalable solutions
Drive customer outcomes
Accelerate cloud adoption
How You'll Work.
Team & Collaboration
Solutions Architecture team; Account Managers; Specialist SAs; Cross-functional teams
Communication Scope
Executive presentations; Technical documentation
Process & Methodology
Scrum
Full Job Description
Do you like helping hi-tech and semiconductor companies solve their most complex technical challenges? Would you like to do this using the latest cloud computing technologies including GenAI and agentic AI? Do you have a passion for enabling chip designers and product engineers to innovate faster and more efficiently through cloud modernization? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing accounts to enterprise-level customers. This is an on-site position requiring regular presence at AWS offices and customer locations to deliver hands-on technical engagement and build strong customer relationships. As a Senior Solutions Architect on the Hi-Tech & Semiconductor team, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of AWS services — including compute, storage, networking, analytics, AI/ML, Generative AI, and HPC — within hi-tech and semiconductor accounts pursuing cloud modernization and digital transformation. You will be the bridge between our customers' most complex computational challenges and AWS's most advanced cloud infrastructure capabilities. You will own the technical engagement and ultimate success around specific implementation projects, with a strong focus on: Cloud Modernization & Infrastructure Optimization: Helping customers modernize their infrastructure, optimize compute-intensive and memory-intensive workloads, and transition to cloud-native architectures Compute-Intensive Workload Architecture: Architecting scalable solutions for demanding engineering workloads — including frontend design (RTL, synthesis, simulation), backend design (place and route, timing closure, signoff), CAE/CAD product engineering, and HPC orchestration GenAI & Agentic AI Adoption: Driving customer outcomes with generative AI solutions — from AI-assisted chip design and verification to intelligent automation across hi-tech
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