GenAI/ML Solutions Architect - Enterprise AI Lead

Amazon Inc.; Palo Alto (CA); Presencial; USD 151 000 - 204 000; Tempo integral

Resumo da oferta

Amazon Web Services, Inc. is seeking a GenAI/ML Solutions Architect (Enterprise) to design and deliver scalable AI/ML solutions for customers across the AMERICAS.

You will work with Bedrock, SageMaker, and Nova models, crafting architectures for retrieval-augmented generation and agentic AI, while ensuring responsible AI practices. You will collaborate with sales and AI/ML service teams, develop workshops and reference implementations, and help customers adopt AWS GenAI/ML capabilities at scale.

Qualificações

• 4+ years of experience in software development, cloud computing, systems engineering, or data & analytics.
• Experience designing and implementing production ML/AI systems.
• Hands-on experience with GenAI/ML workloads and architectures.
• Familiarity with AWS Bedrock, SageMaker, and related AI/ML services.

Responsabilidades

• Work with customers’ development, data science, and AI engineering teams to understand business and technical needs.
• Design AWS-based GenAI/ML solutions using Bedrock, SageMaker, Nova models, and related services.
• Partner with other SAs and service teams to accelerate customer adoption in the AMERICAS.
• Contribute thought leadership through blogs, reference architectures, and workshops.
• Serve as a technical liaison to improve product features based on customer feedback.

Conhecimentos

Software development

Cloud computing

Systems engineering

Data & analytics

ML concepts

Ferramentas

AWS technologies

Descrição da oferta de emprego

Amazon Web Services, Inc. is seeking a GenAI/ML Solutions Architect (Enterprise) to design and deliver scalable AI/ML solutions for customers across the AMERICAS.

You will work with Bedrock, SageMaker, and Nova models, crafting architectures for retrieval-augmented generation and agentic AI, while ensuring responsible AI practices. You will collaborate with sales and AI/ML service teams, develop workshops and reference implementations, and help customers adopt AWS GenAI/ML capabilities at scale.