Principal Solutions Architect, Foundation Model Providers (Seattle)

As a Principal Solutions Architect supporting Foundation Model Providers (FMP) on AWS, you will tackle some of the most challenging and exciting problems in cloud computing today. Model provider’s compute footprint represents one of the most demanding workloads on the AWS platform, pushing the boundaries of what’s possible with networking, GPU infrastructure, storage, container orchestration, and distributed computing at extraordinary scale. In this role, you’ll design cloud architectures that enable model providers to train, fine‑tune, and serve state‑of‑the‑art generative AI models. You will help solve business challenges such as rapidly releasing products or services to the market and building elastic, scalable, cost‑optimized applications while engaging with product owners and service teams to set the strategy for AWS services.

• Maintain and foster relationships with model providers, becoming their trusted technical advisor and strategic partner.
• Develop deep knowledge of core foundational services (Compute, Network, Storage) and machine‑learning expertise to build long‑term relationships with customer engineering teams.
• Dive deep to understand the details of model provider’s environment, business goals, and technical requirements for building and deploying foundation models.
• Design and implement advanced cloud architectures that enable model providers to scale their AI research and production workloads efficiently.
• Partner closely with AWS service teams (EC2, Global Networking, EKS, Bedrock, S3) to influence roadmaps and develop custom solutions that meet model provider’s unique requirements.
• Identify patterns and technical solutions that can be broadly applied across the FMP segment to accelerate innovation.
• Lead technical discussions that articulate the business value of the AWS platform and services to both technical architects and executive stakeholders.
• Drive technical and architectural best practices for GPU optimization, network throughput, distributed training, and cost efficiency at massive scale.

• 10+ years of experience in specific technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics.
• Bachelor’s degree in computer science, engineering, mathematics, or equivalent.
• Experience developing technology solutions and evangelizing end‑to‑end technology roadmaps that guide IT transformations toward cloud computing.
• Experience communicating across technical and non‑technical audiences at the C‑level, including training, workshops, and publications.

• Knowledge of large‑scale automation, workflow management, or equivalent.
• Excellent presentation and white‑boarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers.
• Experience with training and deploying machine‑learning systems to solve large‑scale optimizations or operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Experience with CUDA kernels or low‑level ML kernels, or experience with machine‑learning and large‑language‑model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution.
• Experience in Kubernetes, Docker, or container ecosystem.
• Knowledge of foundation model architectures, training approaches, and serving infrastructure.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company: Amazon Web Services, Inc.