Senior Cloud Solutions Architect

4 weeks ago

London, Greater London, United Kingdom Amazon Full time

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Generative AI (GenAI) background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? We are seeking a highly skilled Senior Field Specialist to join our Worldwide Specialist Organization (WWSO) GenAI team as a GTM Specialist Solutions Architect.

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Key Responsibilities
  • Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
  • Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.
  • Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
  • Fluency in Japanese proficiency to engage with local teams, and external customers.
Basic Qualifications

7+ years design/implementation/consulting experience of distributed applications
- 5+ years management of technical, customer facing resources
- 5+ years of design/implementation of production AI/ML systems.
- Experience implementing GenAI solutions that include the use of LLMs/multi-modal FMs, RAG, Vector DBs, agents, and prompt engineering.
- Hands-on experience with state-of-the-art data and ML frameworks (PyTorch, HuggingFace, Langchain).- Working knowledge of software development tools and methodologies.
- Experience working within software development or Internet-related industries.
- AWS Solution Architecture certification or relevant cloud expertise.
- Computer Science/relevant degree and/or experience highly desired.

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