Gen AI & ML Solutions Architect — SageMaker Expert

Amazon Web Services (AWS)

Chicago (IL)

On-site

USD 154,000 - 208,000

Full time

7 days ago
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Job summary

Amazon Web Services, Inc. is seeking a Machine Learning Solutions Architect to serve as the technical authority on model customization and inference. You will help customers across the AMERICAS unlock foundation models, custom training, and production-scale serving on AWS.

You’ll work with SageMaker AI, HyperPod, Bedrock, Trainium and Inferentia to design end-to-end ML architectures and drive scalable deployments that optimize latency, throughput, and cost.

Qualifications

  • 3+ years of experience in software development, cloud computing, systems engineering, infrastructure, security, networking or data & analytics.

Responsibilities

  • Solution Design & Delivery: architect solutions leveraging AWS AI/ML services with emphasis on model customization and inference optimization.
  • Technical Leadership: serve as SME on model customization and inference patterns across SageMaker AI and SageMaker HyperPod.
  • Customer Adoption & Revenue Impact: accelerate adoption across AMERICAS, contribute to pipeline and revenue.
  • Thought Leadership & Evangelism: author blogs and reference architectures, present at events to establish AWS leadership.
  • Voice of the Customer: capture feature requests and drive platform improvements.
  • Community Building: develop an internal ML community across AMERICAS.

Skills

Software development
Cloud computing
Systems engineering
Infrastructure
Security
Networking
Data & analytics

Job description

Amazon Web Services, Inc. is seeking a Machine Learning Solutions Architect to serve as the technical authority on model customization and inference. You will help customers across the AMERICAS unlock foundation models, custom training, and production-scale serving on AWS.

You’ll work with SageMaker AI, HyperPod, Bedrock, Trainium and Inferentia to design end-to-end ML architectures and drive scalable deployments that optimize latency, throughput, and cost.

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