GenAI & ML Solutions Architect – AI Trailblazer

Amazon Web Services (AWS); Seattle (WA); On-site; USD 131,000 - 178,000; Full time

Job summary

AWS is seeking a Machine Learning Solutions Architect to act as SME for AMERICAS in designing ML solutions using AWS AI/ML services. You will collaborate with ISVs, guide customer engagements, and contribute to white papers, blogs, and reference implementations.

Role involves working with SageMaker, Bedrock, AgentCore, and other AI/ML services across multiple cities in the Americas, with travel up to 50% possible.

Qualifications

• 2+ years of design, implementation, or consulting in applications and infrastructures experience.
• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
• Experience working within software development or Internet-related industries; migration or transformation of legacy solutions to cloud preferred.

Responsibilities

• Design solutions for customers that leverage AWS cloud platform and AI/ML services.
• Partner with SAs, Sales, BD and AI/ML Service teams to accelerate customer adoption and revenue for SageMaker and GenAI use cases.
• evangelize AWS ML services and share best practices through blogs, whitepapers, reference architectures and events.
• Provide customer-driven product improvement feedback to AWS SageMaker and other service teams.

Skills

Design experience

Cloud computing

Software development

AWS technologies

Tools

Amazon SageMaker

Amazon Bedrock

AWS services

Job description

AWS is seeking a Machine Learning Solutions Architect to act as SME for AMERICAS in designing ML solutions using AWS AI/ML services. You will collaborate with ISVs, guide customer engagements, and contribute to white papers, blogs, and reference implementations.

Role involves working with SageMaker, Bedrock, AgentCore, and other AI/ML services across multiple cities in the Americas, with travel up to 50% possible.