Senior Cloud Solutions Architect

1 week ago

San Francisco, California, United States Amazon Web Services, Inc. - A97 Full time
About the Role

We are seeking a highly skilled Senior Cloud Solutions Architect to join our Worldwide Specialist Organization (WWSO) Startup team at Amazon Web Services, Inc. - A97. As a key member of our team, you will be responsible for helping startups scale quickly and cost-effectively on AWS, with a focus on Amazon Bedrock and other technologies.

Key Responsibilities
  • Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.
  • Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plans.
  • Guide and Support an AWS internal community of technical subject matter experts aligned to your domains.
  • Provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses.
Requirements
  • 7+ years of design, implementation, or consulting in applications and infrastructures experience
  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Bachelor's degree
  • 5+ years management of technical, customer facing resources
  • 5+ years of technical experience in Machine Learning, Artificial Intelligence, LLM, or GenAI
Preferred Qualifications
  • Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
  • Familiarity with opensource software used by Startups and working knowledge of software development tools and methodologies common to Startups.
  • Strong database storytelling skills with a high degree of comfort speaking with Startup executives and developers.
  • Cloud expertise as demonstrated by one or more cloud certifications.
  • Demonstrated ability to adapt to new technologies and learn quickly.
  • Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
  • Advanced degree highly preferred such as engineering, computer science, or MIS a plus.

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