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AWS Solutions Architect

2 months ago

Springfield, Virginia, United States Amazon Web Services, Inc. Full time
About the Role

We are seeking a highly skilled AWS Solutions Architect to join our Public Sector team. As a key member of our team, you will be responsible for helping customers adopt AWS' technologies, with a focus on Gen AI.

Key Responsibilities
  • Interact with CxO/VP level executives, developers, and technical architects to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
  • Become a trusted advisor through Technical Thought Leadership and demonstrate AWS values.
  • 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.
About the Team

We value diverse experiences and encourage candidates from all backgrounds to apply. Our team is committed to creating a culture of inclusion and empowerment, where everyone can thrive.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services to power businesses.

What We Offer
  • Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
  • Endless knowledge-sharing, mentorship, and career-advancing resources to help you develop into a better-rounded professional.
  • Flexibility as part of our working culture, allowing you to achieve success at work without sacrificing work-life harmony.
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 hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI.