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Amazon

Sr. Prototyping Solutions Architect, AWS Specialist Prototyping Team

Amazon, San Francisco, California, United States, 94199


Sr. Prototyping Solutions Architect, AWS Specialist Prototyping Team

Job ID: 2708231 | Amazon Web Services, Inc.Do you have a builder’s mentality where “show me” means more than “tell me”? Are you passionate about technology, understand cloud architectures & platforms, and quick to pick up emerging technologies? Are you adept at working with Customers to experiment with innovative approaches and validate the technical feasibility of solutions?

Core to Amazon’s DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. This experimentation fuels Amazon’s innovation. The role of the Prototyping Solutions Architect will apply these methods to assemble and build prototypes with leading customers around the world. You'll work closely with AWS Sales Teams and AWS Service Developers to partner with customers to solve hard problems. AWS is seeking a Senior technical professional with real world expertise and experience to join the AWS Specialist Prototyping team to support our rapidly growing and dynamic business.

Key job responsibilities

Work with AWS Prototyping engagement managers, solutions architects, customers, and partners to qualify and scope strategic prototyping use casesArchitect, design, develop and build working prototypes with customersExtract best-practice knowledge, reference architectures, and patterns from engagements to promote re-use with the worldwide AWS communityShare insights and lessons learned with AWS Service teams to contribute to the continual improvement of AWS services based on Customer needDevelop and present detailed technical demonstrations and talks to Business and Technical leaders on 1:1 and 1:many/conference type situationsPosition requires travel - generally around 25%

About the teamThe mission of AWS Prototyping is to accelerate customer adoption of AWS, expedite their path to production, and catalyze a culture of innovation.

Prototyping at AWS helps customers envision complex uses of AWS Services by building working prototypes of specific customer use cases, tailored to their data, devices and systems. Prototyping engagements are designed to be innovative and evaluative, demonstrating "the art of the possible" on AWS.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. BASIC QUALIFICATIONS

- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- 7+ years of design, implementation, or consulting in applications and infrastructures experience- Experience using managed AI/ML services and solutionsPREFERRED QUALIFICATIONS

- Knowledge of AWS services, market segments, customer base and industry verticals- Experience in applying machine learning models for business application- Experience programming in Python, TypeScript, Java or related language- Track record of learning and being curious about emerging technology such as large language models/generative AI- Experience in implementing and operating cloud solutions in a variety of business environments such as large enterprises and start-ups- Experience conveying complex subject matter to customers and stakeholders in written and verbal formats

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