Senior Specialist Solutions Architect, Amazon Quick

Are you passionate about helping customers unlock the power of generative artificial intelligence (AI) and business intelligence? Amazon Web Services (AWS) is seeking a Solutions Architect to become a thought leader and deep specialist in Amazon Quick, our AI assistant for work. In this role, you'll work at the intersection of data analytics and generative AI, helping organizations across industries become more proficient with data-driven decision making, AI-powered insights, and automated actions.

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA!

About the Org: The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll 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. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

• Key job responsibilities
• - Lead technical solution discussions with customer teams, translating complex business needs into scalable architectures that deliver measurable business outcomes.
• - Design and architect end-to-end customer solutions leveraging Amazon Quick's capabilities including agentic features, dashboarding, and automation, ensuring solutions are extensible, secure, reliable, and cost-optimized.
• - Work with AWS field sales, training, and support teams to ensure customer success.
• - Drive customer feedback to product and engineering teams, distilling insights into clear business and technical requirements that influence the Amazon Quick roadmap and future feature development.
• - Collaborate with Go-To-Market Specialist teams to develop and execute adoption strategies through direct customer engagements and scaled events.
• - Share what you know by capturing best-practice knowledge from engineering and field teams, including reference architectures and patterns amongst the worldwide AWS solution architect community in order to build a strong worldwide data and AI/ML community.
• - Act as a thought leader by creating and delivering technical content such as white papers, blog posts, reference architectures, and workshops that educate customers on best practices for business intelligence and generative AI.
• - Evangelize AWS services and solutions that benefit customers and publicly speak at events such as AWS Summits and AWS re:Invent.

• A day in the life
• Your daily schedule will be a dynamic mix of solving customers' challenges and creating scalable assets to further promote the knowledge and understanding of Amazon Quick. You will collaborate with field teams to drive successful customer outcomes, as well as work with service teams to incorporate customer feedback into the roadmap. You will partner closely with Go-To-Market (GTM) Specialist counterparts to develop strategies that drive customer adoption further in your territory through one-to-one customer engagement and one-to-many virtual and in-person events.

• About the team
• Within the Worldwide Specialist Organization (WWSO), this position is part of the Generative AI and Machine Learning Specialist Solutions Architecture organization, where you will join a global team focused on Amazon Quick. The team covers all aspects of Quick, including its agentic capabilities, dashboarding, and automation, with a mission to help organizations become more proficient with data and AI. You'll work in a collaborative environment where continuous learning and knowledge-sharing are core to how the team operates, staying at the forefront of a rapidly evolving space where generative AI is transforming how knowledge workers interact with data.

Basic qualifications

• - Experience in design, implementation, or consulting in applications and infrastructures
• - Speak, write, and read fluently in English
• - Experience working with or evaluating AI systems
• - Experience within the data and analytics domain (e.g., SQL, data engineering, or similar), with a focus on business intelligence
• - Experience developing dashboards with a Business Intelligence platform such as Quick Sight, Tableau, PowerBI, Looker, Thoughtspot, Microstrategy, Sisense, Domo, etc.

Preferred qualifications

• - Bachelor's degree in computer science, engineering, mathematics or equivalent
• - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
• - Experience with any programming language such as Python, Java, C++
• - Experience in technology/software sales, pre-sales, or consulting
• - Speak, write, and read fluently in German
• - Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
• - Experience in architecting and implementing Business Intelligence and generative AI solutions into production

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

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