GenAI/ML Solutions Architect - Enterprise

Amazon Web Services (AWS); East Palo Alto (CA); Presencial; USD 151 000 - 204 000; Tempo integral

Resumo da oferta

AWS is seeking a GenAI/ML Solutions Architect to help US customers design and adopt GenAI/ML solutions using Bedrock, Bedrock AgentCore, SageMaker AI, and related services. You will work closely with field sales, AI service teams, and customers to architect scalable, responsible AI workflows and production inference pipelines.

Travel up to 30% across the United States; you will create reference architectures, run workshops, write blogs, and contribute to internal GenAI communities while shaping

Qualificações

• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 2+ years of design, implementation, or consulting in applications and infrastructures experience

Responsabilidades

• Design solutions using AWS cloud and AI/ML services including Bedrock, Bedrock AgentCore, SageMaker AI, and Nova models
• Partner with SAs, Sales, Business Development, and AI service teams to accelerate customer adoption and revenue in the AMERICAS
• evangelize AWS GenAI/ML services via forums, blogs, whitepapers, reference architectures, and workshops
• Act as a technical liaison to provide customer-driven feedback to Bedrock, AgentCore, SageMaker, and ML service teams
• Develop internal GenAI specialists community to position opportunities with customers

Conhecimentos

GenAI/ML Solutions Architecture

AWS Bedrock

SageMaker AI

AgentCore

Ferramentas

Amazon Bedrock

Amazon Bedrock AgentCore

Amazon SageMaker AI

Amazon Nova models

Amazon Quick

Kiro

Amazon Comprehend

Amazon Rekognition

Amazon Textract

Amazon Transcribe

Descrição da oferta de emprego

AWS is seeking a GenAI/ML Solutions Architect to help US customers design and adopt GenAI/ML solutions using Bedrock, Bedrock AgentCore, SageMaker AI, and related services. You will work closely with field sales, AI service teams, and customers to architect scalable, responsible AI workflows and production inference pipelines.

Travel up to 30% across the United States; you will create reference architectures, run workshops, write blogs, and contribute to internal GenAI communities while shaping