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Sr. Specialist Solutions Architect, High Performance Computing and Machine Learning

Singapore, Singapore Employment contract · Job Posted May 03, 2026
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Job Description

AWS Worldwide Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA! 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 customer’s most complex and business critical problems to build and execute go-to- market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. Are you passionate about cloud computing and its potential to overcome some of the biggest challenges in High Performance Computing (HPC)? Do you have a unique combination of deep technical knowledge, business acumen and strong interpersonal skills? Do you enjoy tackling large analytical problems as massive scale? Amazon Web Services (AWS) is seeking a Senior Worldwide Specialist Solutions Architect focused on HPC to work with our customers, including physics informed machine learning, CAE, Weather and accelerated computing with GPU to craft cloud-based solutions.

Job Responsibility

  • Design Customer Solutions – Collaborate with the wider AWS teams to help customers and partners architect HPC Solutions that leverage AWS Services
  • Engage with Solution Architects, Account Managers, Professional Services, and Partners to define an HPC Engagement strategy for AWS operational territories and key accounts, with emphasis on public sector National Super Computing Centers, Government agencies, and/or AI/ML, CAE, Weather and accelerated computing with GPU
  • Thought Leadership – Provide thought leadership on solutions that benefit customers through the use of AWS Services
  • Serve as a key member of the business development and accounting management team in helping to ensure customer success in building and migrating applications, software and services on the AWS platform
  • Assist solution providers with the definition and implementation of technical and business strategies
  • Capture and share best-practice knowledge amongst the worldwide AWS solution architect community
  • Understand AWS market segments, and industry verticals
  • Understand and exploit the use of internal business support systems

Requirements

  • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
  • 3+ years of design, implementation, or consulting in applications and infrastructures experience
  • 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Nice to have

  • Deep HPC experience for workloads in a domain such as CAE, Weather Simulation, oil and gas, automotive / aerospace, financial services or pharmaceuticals
  • Experience in architecting an HPC system and infrastructure with orchestration schedulers (e.g. Slurm, Torque, Symphony or GridServer), parallel file systems (Lustre, IBM Spectrum Scale)
  • Experience in deployment, tuning, benchmarking and management of HPC technologies in a multi-user environment
  • Deep GPU knowledge in HPC and/or AI/ML frameworks

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