Job summary Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service? Come join us! 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 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, 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, Amazon Forecast, Amazon Personalize, Amazon Rekognition, Lookout for Equipment, Monitron, Lookout for Metric, Panorama, Lookout for Vision, Health AI, and Amazon Textract to quickly add intelligence to applications with a simple API . AWS is looking for an AI Services Solutions Architect (Artificial Intelligence SA) for Personalization, who will be the Subject Matter Expert (SME) for helping customers in designing Personalization solutions that leverage our AI services. You will partner with Solution Architects, Sales, Business Development and the AI Service teams to enable customer adoption and revenue attainment for various AI services. You will develop white papers, blogs, reference implementations, labs, and presentations to evangelize AI design patterns and best practices for Personalization solutions. And, most important - you will act as the steward for developing winning Personalization solutions for our customers. Roles and Responsibilities - Thought Leadership – Evangelize AI services and share best practices through forums such as blogs, white-papers, reference architectures and public-speaking events such as Summit, re:Invent, etc.
Partner with SAs, Sales, Business Development and the AI Service teams to accelerate customer adoption and revenue attainment across APJ for AI services such as Amazon Personalize, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe and the other AI services.
Act as a technical liaison between customers and the AI services engineering teams to provide customer driven product improvement feedback.
Develop and support an internal community of AI related subject matter experts.
Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.