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Senior Specialist Solutions Architect, Amazon Quick, Data & AI GTM

Amazon
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New York, NY$169k - $228.6kFull-timePosted 1mo ago

About the role

AWS Solutions Architect focused on Amazon Quick, combining data analytics and generative AI to help customers adopt AI-powered insights and data-driven decision making. Embedded with Product, Engineering, and Science to translate customer needs into scalable, secure, and cost-optimized architectures. Part of the Worldwide Specialist Organization (WWSO) within SMGS.

Responsibilities

  • - Serve as a Service Aligned Solutions Architect, embedded with Product, Engineering, and Science to maintain technical currency and voice of the customer in sprints/roadmaps.
  • - Lead technical solution discussions translating business needs into scalable architectures with measurable outcomes.
  • - Design end-to-end customer solutions leveraging Amazon Quick capabilities (agentic features, dashboarding, automation) that are extensible, secure, reliable, and cost-optimized.
  • - Collaborate with Product, Engineering, and Science teams in design reviews, beta programs, and feature validation to align architectures with platform direction.
  • - Drive customer feedback to Product and Engineering, distilling insights into requirements for the Amazon Quick roadmap.
  • - Work with AWS field sales, training, and support to ensure customer success with deeper product context than a generalist SA.
  • - Collaborate with GTM Specialist teams to develop adoption strategies through direct and scaled events.
  • - Capture and share best practices, reference architectures, and patterns within the worldwide AWS solution architect community.
  • - Create and deliver technical content (white papers, blogs, reference architectures, workshops) on BI and generative AI best practices.
  • - Evangelize AWS services, publicly speak at events (AWS Summits, re:Invent) representing both field SA and service team perspectives.

Qualifications

  • - Experience communicating across technical and non-technical audiences, including executive stakeholders.
  • - 8+ years in technology domains (software development, cloud computing, systems engineering, data science, data & analytics).
  • - Proven expertise in building agentic search systems and automated LLM-driven evaluation frameworks for complex AI retrieval pipelines.

Skills

Required:Communicating across technical and non-technical audiencesExperience with cloud computingAgentic search systems
Last updated Oct 25, 2026. Interested? Apply on the company site.

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