Demo

Senior Specialist Solutions Architect - Generative AI, Training & Inference

Amazon Web Services, Inc.
Boston, MA Full Time
POSTED ON 3/8/2025
AVAILABLE BEFORE 6/8/2025

Are you excited about shaping the future of Go to Market (GTM) strategies at AWS with generative AI (GenAI)? Join AWS Sales, Marketing, and Global Services (SMGS) as we drive growth and innovation for small, mid-market, and enterprise-level customers.

As part of our global GenAI Training and Inference team, you will be pivotal in defining, building, and executing strategies that encourage customer adoption of our advanced services and solutions across various industries.

Your role will involve :

  • Working with key customers to implement and scale large-scale GenAI workloads on AWS, including developing demos and proof-of-concepts.
  • Creating and implementing GTM plans while evangelizing both internally and externally about the benefits of GenAI on AWS.
  • Collaborating with engineering teams to enable customers to develop and deploy GenAI solutions effectively.
  • Engaging directly with C-Level executives and engineering teams to articulate the value and challenges of GenAI applications.
  • Connecting with account teams, research scientists, and product teams to improve model implementations and create innovative solutions.

We’re looking for a candidate who is passionate about guiding companies and partners in optimizing their operations on AWS. You should have a strong technical and business background, a knack for fostering collaboration across different AWS teams, and a desire to learn and innovate continuously.

You will have the chance to :

  • Lead the development of initiatives to enhance our GenAI capabilities on AWS.
  • Shape product visions and prioritize features for AI / ML frameworks and applications.
  • Work in a supportive environment that values work-life harmony and encourages diverse experiences.
  • Join us at AWS, where you can be at the forefront of cloud technology transformations and help shape the future of the industry!

    This position requires :

  • 8 years in specific technology domains (e.g., software development, cloud computing, systems engineering).
  • 3 years of experience in design, implementation, or consulting regarding applications and infrastructures.
  • Strong understanding of the ML stack, including compute infrastructure and orchestration layers and practical application experience.
  • We welcome applicants from diverse backgrounds and experiences, and value inclusiveness in our team culture.

    Please note : This position is based in a location that must be kept private, but we assure you it offers a supportive work environment, promoting professional growth and collaboration.

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