Jobs · Engineering · New York

AI/ML Specialist Solutions Architect, Telecom, AGS US Specialist SA, TMEGS

Amazon Web Services (AWS) · New York, United States · Yesterday
EngineeringFull-time

About the role

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and committed support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art genAI/ML tools on Amazon Web Service (AWS)? Come join us!

About the team

At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning, 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 with deep learning; as is Prime Air. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage.

Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack:

  • Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow
  • Machine Learning Platforms such as Amazon SageMaker for data scientists
  • API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls

Key job responsibilities

  • Working with customers' development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Personalize, and the other AI/ML services
  • Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases
  • Thought Leadership – Evangelize AWS ML 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 AWS SageMaker or other service teams to provide customer driven product improvement feedback
  • Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS

Basic qualifications

  • 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 2+ years of design, implementation, or consulting in applications and infrastructures experience

Preferred qualifications

  • Experience working within software development or Internet-related industries
  • Experience migrating or transforming legacy customer solutions to the cloud
  • Experience working with AWS technologies from a dev/ops perspective

Benefits

  • Health insurance including medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Sign-on payments and restricted stock units (RSUs)

Pay

  • USA, MA, Boston: 131,300.00 - 177,600.00 USD annually
  • USA, NY, New York: 144,500.00 - 195,400.00 USD annually
  • USA, VA, Arlington: 131,300.00 - 177,600.00 USD annually

Final compensation will be determined based on factors including experience, qualifications, and location.

This response is AI-generated, for reference only.

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