Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about working with customers to build solutions that leverage AI/ML/DL technologies? Come join Amazon Web Services!
At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience 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 our drone initiative, 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.
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.
AWS is looking for an AI Solutions Architect who will guide and collaborate with our customers in the San Francisco Bay Area in designing their AI roadmaps and solutions. You will partner with Senior Solution Architects, Business Development and the AI product teams to enable customer adoption. You will use your customer experiences to develop white papers, blogs, reference implementations, labs, and presentations, to evangelize AWS AI design patterns and best practices for all of the AWS AI services.
Your roles and responsibilities will include:
* Collaborate with customers' product, development, and data science teams to understand their business and technical needs, and design AI solutions that make the best use of the AWS cloud platform and AWS AI Services
* Evangelize AWS AI services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit and AWS re:Invent
* Act as a technical liaison between customers and the AI product engineering teams to provide customer driven product improvement feedback.
* Develop and support an AWS internal community of AI related subject matter experts.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.