Sr. Solutions Architect, Semiconductor and Quantum Fab

Amazon Amazon · Big Tech · Santa Clara, CA · Solutions Architect

This role is for a Senior Solutions Architect at AWS, focusing on Semiconductor and Quantum Fab customers. The primary responsibility is to partner with customers to design and build scalable cloud architectures, leveraging technical depth in areas like AI/ML and Data Analytics to accelerate customer business outcomes. The role involves understanding customer challenges, recommending best practices, and influencing the evolution of AWS products and services.

What you'd actually do

  1. Work with customer executives and architects to accelerate their business outcomes and recommend cloud architectures in line with their long-term business needs
  2. Leverage technical depth in AI/ML, Data Analytics, Storage, Compute, Networking to drive technical solutions and help customers solve problems and use your knowledge to craft scalable, flexible, and resilient cloud architectures
  3. Scope and own customer engagements, with attention towards clear and well-defined objectives and success criteria
  4. Define and deliver customer solutions by engaging both internal teams and partners
  5. Share the voice of the customer and proactively work within the organization to influence the evolution of the AWS products and services

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

Nice to have

  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
  • Bachelor's degree, or BS degree
  • Experience with Electronic Design Automation workloads and architectures hosted on-premise, hybrid and native cloud hosted chip design frontend, backend, orchestration, automation, design verification, and tooling
  • Experience in advanced manufacturing technologies.
  • Experience in AI and ML, Generative AI to improve productivity and innovation.
  • Strong understanding of how to process, analyze and visualize data and experience leading such technical discussions
  • Experience in Semiconductor and Hi-tech/Semiconductor Manufacturing such as advanced manufacturing systems, shopfloor optimization, Industry 4.0 technologies, MES, clean room setups yield management, semiconductor fabrication processes for advanced node technologies

What the JD emphasized

  • 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
  • 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience