GenAI Solutions Architect - Global

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 154,000 - 208,000

Full time

14 days+

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Job summary

Amazon Web Services, Inc. is seeking a Generative AI Solutions Architect to design and deploy GenAI-enabled applications for large enterprise customers using Bedrock and SageMaker. You will work with product owners to influence direction, build references, and deliver briefing sessions to guide adoption patterns for GenAI on AWS.

Travel up to 30% is possible. The role interacts with Data Scientists and Solution Architects to translate customer needs into scalable AWS GenAI architectures and

Qualifications

  • 7+ years of technology experience across software, cloud, or data domains
  • Bachelor's degree in computer science, engineering, mathematics or equivalent
  • Experience delivering end-to-end technology roadmaps and cloud transformations
  • Ability to communicate with technical and non-technical audiences, including executives

Responsibilities

  • Implement and deploy GenAI solutions using AWS GenAI services and customer prototypes.
  • Advocate for GenAI capabilities through blogs, reference architectures, and events.
  • Collaborate with Data Scientists, SAs, and Sales to accelerate customer adoption.
  • Provide feedback to product and engineering teams to improve GenAI offerings.
  • Develop enablement materials for field teams on GenAI solutions.

Skills

GenAI
Solution Architecture
Cloud Computing
ML/AI

Education

Bachelor's degree in CS/Engineering/Math

Tools

Bedrock
SageMaker
AWS services

Job description

Amazon Web Services, Inc. is seeking a Generative AI Solutions Architect to design and deploy GenAI-enabled applications for large enterprise customers using Bedrock and SageMaker. You will work with product owners to influence direction, build references, and deliver briefing sessions to guide adoption patterns for GenAI on AWS.

Travel up to 30% is possible. The role interacts with Data Scientists and Solution Architects to translate customer needs into scalable AWS GenAI architectures and

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