Global Partner Solutions Architect - AIML Amazon
Chicago, IL

Job Description

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 tools on Amazon Web Service (AWS)? Come join us!

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.

As a Partner Solution Architect focused on AI/ML at AWS, you will have the opportunity to shape and deliver our strategy and that of our GSI partners. You will build mind share and encourage use of AWS AI/ML services (Amazon Sagemaker, Amazon Rekognition, Amazon Lex, etc.) across the global customer and partner base. The AIML PSA will work directly with project teams to develop business use cases for AIML, developing architectures using AIML services, and training new models.

AWS is looking for an AIML Partner Solutions Architect (AIML PSA), who will be the Subject Matter Expert (SME) for helping Global Consulting partners to design solutions that leverage the AWS offering at various levels of the ML stack. You will partner with ProServe, Sales, Business Development and the AIML Service teams to enable partner's AIML services adoption. You will 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:

* Work with partner's development and data science teams to deeply understand their business and technical needs and design AI solutions that make the best use of the AWS cloud platform and AWS AI Services including: Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Sagemaker and the other AWS AI services.
* Thought Leadership - 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, AWS re:Invent, etc.
* Act as a technical liaison between customers and the AI services engineering teams to provide customer driven product improvement feedback.
* Provide the architectural guidance and recommendations necessary to promote successful partner engagements
* Assist system integrators in building offerings and technical strategies that will enable them to build and sell their offering on the AWS platform
* Coach and train System Integrators on an ongoing basis to adopt AWS innovations for AI/ML workloads
* Assist System Integrators in pursuits and enable them to win the business independently