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

Amazon Amazon · Big Tech · Singapore · Solutions Architect

This role is for a Senior Specialist Solutions Architect at AWS, focusing on High Performance Computing (HPC) and Machine Learning (ML). The primary responsibility is to work with customers to design and architect cloud-based solutions leveraging AWS services, particularly for complex HPC workloads including physics-informed machine learning, CAE, Weather, and accelerated computing with GPUs. The role involves thought leadership, customer engagement, and capturing best practices within the AWS solutions architect community. While the role interacts with AI/ML concepts and customers using them, it is not directly building or shipping AI models, but rather architecting the infrastructure and solutions around them.

What you'd actually do

  1. Design Customer Solutions ­ Collaborate with the wider AWS teams to help customers and partners architect HPC Solutions that leverage AWS Services
  2. 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
  3. Thought Leadership – Provide thought leadership on solutions that benefit customers through the use of AWS Services. This takes the form of contribution to external publications such as the AWS Compute Blog, whitepapers and reference architectures, as well as internal training of Solutions Architects, Professional Services Consultants, Technical Account Managers, and AWS Trainers
  4. 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.
  5. Assist solution providers with the definition and implementation of technical and business strategies.

Skills

Required

  • Cloud computing
  • HPC
  • Machine Learning
  • AWS Services
  • Customer engagement
  • Technical architecture
  • Problem-solving
  • Communication skills

Nice to have

  • Physics informed machine learning
  • CAE
  • Weather modeling
  • Accelerated computing with GPU
  • Public sector engagement
  • National Super Computing Centers
  • Government agencies

What the JD emphasized

  • deep technical knowledge
  • business acumen
  • strong interpersonal skills
  • customer obsession
  • delivering results
  • connect technology with measurable business value is critical
  • think strategically about business, products, and technical challenges