Startup Solutions Architect, Genai

Amazon Amazon · Big Tech · San Francisco, CA · Solutions Architect

This role involves working with early-stage generative AI startups to help them leverage AWS technology for developing, training, tuning, and deploying foundation models at scale. The Solutions Architect will provide technical guidance, support architectural decisions, and act as a liaison between customers and AWS product teams, while also contributing to technical content and events.

What you'd actually do

  1. Help a diverse range of generative AI-focused startups to develop, train and adopt the right architecture at each part of their lifecycle
  2. Support startups in architecting scalable, reliable and secure solutions
  3. Support adoption of a broad range of AWS services to deliver business value and accelerate growth
  4. Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback
  5. Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs

Skills

Required

  • 2+ years of design, implementation, or consulting in applications and infrastructures experience
  • 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

Nice to have

  • Experience working within software development or Internet-related industries
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev/ops perspective
  • Experience working with end user or developer communities

What the JD emphasized

  • develop, train, tune, and deploy the next generation of generative AI foundation models at scale

Other signals

  • working with early-stage startups
  • help them make the best technical decisions
  • develop, train, tune, and deploy generative AI foundation models at scale
  • advocate with our product teams
  • share knowledge more broadly by working on technical content and presenting at events