DESCRIPTION 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!
The Worldwide Specialist Organization (WWSO) works 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 are made up of specialists with deep technology and industry expertise who help carry their fields into the future. 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
- Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap.
- Provide advanced technical knowledge to your domain aligned GTM teams to unblock our customers' largest and most critical business challenges.
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
- Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives.
- Develop and support an AWS internal community of technical subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures.
About the team
At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage.
Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA BASIC QUALIFICATIONS - 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
- 5+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
