Sr. Solutions Architect - Alexa AI Machine Learning Platform Amazon
Seattle, WA

Job Description

Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you eager to learn many different Alexa use cases of ML and DL? Thrilled to be part of Amazon/Alexa AI, who has been pioneering and shaping the world's AI technology? If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, come join Machine Learning Platform and Services (MLpS) team!

Alexa is literally shaping the future of voice recognition and cloud-based content/services. Alexa is fueled by Natural Language Understanding deep learning engine that answers questions, plays music, reads the news and more-instantly. The MLpS organization focuses on providing technology and services to Alexa engineers and scientists to build and improve ML models and continue evolve Alexa experience for Amazon customers.

As an MLpS Solutions Architect (SA) you will be the Subject Matter Expert (SME) helping Alexa scientists to generate ground-truth data necessary for ML model creation and drive the future of AI evolution. You will draft solution proposals, design data-labeling applications, provide consultation for delivering custom solutions in a fast-paced environment. You will be a bidirectional advocate between our customers and the service/platform delivery teams, influencing their roadmaps and driving innovation. This position involves regular communication with senior leadership on proposals, project status and risks. Candidates must have great communication and technical skills and comfortable working with Alexa Domain customers at any level, from executive to developer.

Roles & Responsibilities:

* Work with Alexa AI teams to understand their business and technical needs, and design solutions that make the best use of the Alexa ML platform and services.
* Act as a technical liaison between customers and MLpS engineering teams to provide customer driven product improvement feedback and accelerate solution delivery and adoption.
* Verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
* Evangelize MLpS Services through forums such as lunch and learn sessions, blogs, whitepapers. Recognize, adopt and utilize best practices in Information security throughout solution delivery. Participate in efforts to promote security throughout the Amazon.
* Interact with other SAs, providing guidance on their customer engagements and building an internal community of subject matter experts.
* Create field enablement materials for the broader SA population, to help them understand how to integrate MLpS solutions into customer architectures.
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