GenAI GTM Solutions Architect – EMEA Lead
Amazon Inc.
Una candidatura hecha para este puesto de trabajo — un currículum y una carta de presentación adaptados que responden directamente a la oferta.
Descripción de la vacante
Amazon Web Services (AWS) is seeking a Sr. GTM Specialist Solution Architect GenAI for the EU South region to drive architecture design and evangelize GenAI/Agentic workloads.
You will manage the technical relationship with customers, guiding security, cost, and performance decisions while shaping roadmaps in collaboration with professional services and partners. You will craft cloud-native GenAI/ML reference architectures for diverse use cases, contribute to white papers and workshops, and help
Formación
- Experience as a technical specialist in customer-facing roles.
- Experience with AI/ML and statistical modeling, data analysis tools, and performance parameters.
- 7+ years design/implementation/consulting experience of distributed applications.
- 5+ years of experience with AI/ML or related technology domain.
- 5+ years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies.
Responsabilidades
- Build technical relationships with customers and act as trusted advisor for GenAI/ML workloads.
- Recommend security, cost, performance, reliability, and operational improvements to accelerate projects.
- Serve as voice of the customer, feeding needs to roadmap for GenAI/ML and Agentic features.
- Define cloud-native GenAI/ML and Agentic architectural patterns for various use cases.
- Create and share best practices, technical content, and reference architectures; evangelize AWS GenAI/ML workloads.
Conocimientos
Educación
Herramientas
Descripción del empleo
Amazon Web Services (AWS) is seeking a Sr. GTM Specialist Solution Architect GenAI for the EU South region to drive architecture design and evangelize GenAI/Agentic workloads.
You will manage the technical relationship with customers, guiding security, cost, and performance decisions while shaping roadmaps in collaboration with professional services and partners. You will craft cloud-native GenAI/ML reference architectures for diverse use cases, contribute to white papers and workshops, and help
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