Sr. Specialist Solutions Architect - ML/AI


Are you passionate about Machine Learning, Deep Learning and Artificial Intelligence? Are you excited by the challenge of driving production usage of Machine Learning and AI? Come join us!

Amazon Web Services (AWS) is looking for an experienced Machine Learning Specialist Solutions Architect, who will be the Subject Matter Expert (SME) for designing machine learning solutions that leverage AWS services to automate solutions and drive down costs for customers. The Machine Learning Specialist Solutions Architect will partner closely with the Data and Analytics Business Development and Sales teams, to enable large-scale customer use cases and drive the adoption and revenue of AWS ML/AI solutions. The Machine Learning Specialist SA will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage AWS ML/AI services. The SA will also create field enablement materials for the broader SA population, to help other SA's understand how to integrate AWS ML soltions into customer architectures.

Open to domestic travel up to 25%

Roles and Responsibilities

  • Evangelizing current and future AWS services and technologies
  • Building and maintaining technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS services and technologies
  • Work in collaboration with the sales team to create and execute business plans to accelerate the adoption of AWS, exceed revenue goals, and drive customer satisfaction
  • Capture and share best-practice knowledge amongst the AWS solutions architect community
  • Identifying customer requirements and providing feedback into appropriate AWS services teams

Basic Qualifications

  • 5+ years design/implementation/consulting experience of Machine Learning/AI/Deep Learning solutions
  • Strong expertise with classification models,
  • Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
  • Deep experience with data modeling and Big Data solution stacks
  • Technical consulting and architecture with large-scale engagements
  • Technical degree with statistical fundamentals required
  • Experience using and adapting to new technologies

Preferred Qualifications

  • Professional experience architecting/operating solutions built on AWS
  • Experience communicating effectively across internal and external organizations, for complex mission-critical solutions
  • Experience with predictive analytics, semi- and unstructured data
  • Experience deploying production-grade machine learning solutions on public cloud platforms (AWS, GCP, Azure)

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