AWS Solutions Architect for Accelerated Compute
4 weeks ago
About the Role
We are seeking a highly skilled Cloud Solutions Architect to join our team in the UK and EME region. As a GTM Specialist for Advanced Compute Solutions, you will be responsible for leading the go-to-market strategy for AWS' Accelerated Compute Solutions for customers in the UK and EME.
Key Responsibilities
- Represent the voice of the customer and collaborate with field and central teams to bring customer feedback to product teams for our accelerated instances.
- Provide advanced technical knowledge to customers and aligned GTM teams to unblock customers' largest and most critical business challenges.
- Collaborate with 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.
- Guide and support an AWS internal community of technical subject matter experts aligned to customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
About the Team
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 work backwards from our customers' most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses.
What You'll Need
- Experience in IT development or implementation/consulting in the software or Internet industries.
- Experience communicating across technical and non-technical audiences, including executive-level stakeholders or clients.
- Knowledge of software development tools and methodologies.
- Experience implementing large scale/scale-out ML, LLMs, quantitative algorithms, or scientific compute in the cloud or on-prem.
Preferred Qualifications
- Experience using PyTorch, Tensorflow, JaX, CUDA, NeMo.
- Experience with MPI, NVLink, Infiniband.
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