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Senior AI/ML Solutions Architect

2 months ago

Dallas, Texas, United States Amazon Full time
About the Role

We are seeking a highly skilled Senior Solutions Architect to join our team at Amazon. As a key member of our AI/ML team, you will be responsible for designing and implementing solutions that leverage our AI/ML services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q.

As a Solutions Architect, you will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive the adoption of AWS for the AI/ML platforms. You will also work closely with AWS product development experts and AI/ML advisors, and interact with other SAs in the field, providing guidance on their customer engagements.

You will develop presentations, demos, workshops, blogs, and reference implementations to enable customers to fully leverage AI/ML/GenAI on AWS. Additionally, as the voice of the customer, you will work closely with the AWS service teams, and submit product feature requests to drive the platform forward.

Responsibilities
  • Design and implement solutions that leverage Amazon Bedrock, Amazon SageMaker, and Amazon Q
  • Work closely with customers to enable large-scale use cases and design GenAI pipelines
  • Drive the adoption of AWS for the AI/ML platforms
  • Develop presentations, demos, workshops, blogs, and reference implementations to enable customers to fully leverage AI/ML/GenAI on AWS
  • Work closely with AWS product development experts and AI/ML advisors
  • Interact with other SAs in the field, providing guidance on their customer engagements
  • Submit product feature requests to drive the platform forward
Requirements
  • 3+ years of AI/ML/GenAI experience
  • 3+ years experience architecting solutions built on AWS
  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • Strong mathematics and statistics background
  • Experience building complex machine learning models
  • Familiarity with the ecosystem of software vendors in the GenAI space
About Amazon

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We value work-life harmony and strive for flexibility as part of our working culture. We are continuously raising our performance bar as we strive to become Earth's Best Employer.