← All roles

Principal Solutions Architect

Amazon
Apply on company site
Hybrid (USA, CA, San Francisco), Hybrid (USA, NY, New York)$210.2k - $284.3kFull-timePosted yesterday

About the role

Senior technical leader combining hands-on engineering with scalable program design to amplify the Startup Solutions Architecture team at AWS, focusing on AI/data native solutions, scalable mechanisms, and enablement for startups.

Responsibilities

  • Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org.
  • Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups.
  • Develop systematic approaches to capture, codify, and share technical insights from the field back into the org.
  • Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities.
  • ML/AI Infrastructure: Architect training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization).
  • Design end-to-end ML pipelines and MLOps workflows (data prep, labeling, model registry, deployment).
  • Build and optimize model serving architectures and inference systems for cost and latency.
  • Cloud Native & Kubernetes: Lead design and ops excellence for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures.
  • Ensure security, compliance, and observability in containerized workloads.
  • DevOps & Reliability: Drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), and automated testing frameworks.
  • Apply SRE best practices: monitoring, incident management, resilience, and scaling patterns.
  • Data Strategy & Foundations: Advise startups on data strategy as a moat; architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with Snowflake, Redshift, BigQuery, Databricks; guide adoption of feature stores, vector databases, and lakehouse patterns for ML/RAG use cases.
  • Ensure compliance and governance across sensitive workloads (GDPR, HIPAA, SOC2).
  • Technical Trend Analysis & Strategic Impact: Maintain deep understanding of GenAI, cloud, and data trends; translate into actionable guidance and scalable mechanisms.
  • Scaling & Developer Enablement: Build repeatable solutions and reference architectures; publish blogs/whitepapers/open-source; act as a “co-founder whisperer” for startup-stage guidance.

Qualifications

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

Skills

Required:Hands-on software engineering and cloud architectureArchitecting scalable programs and enablement contentML/AI infrastructure and MLOpsKubernetes/EKS, service mesh, microservices, serverlessDevOps, CI/CD, GitOps, IaC (Terraform/CDK)Communications to executives and non-technical audiences
Nice to have:Data strategy, data pipelines, and governance

Benefits

  • Health insurance (medical, dental, vision, prescription) and life insurance options
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Comprehensive benefits overview available at https://amazon.jobs/en/benefits
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

liquid-ai-recruiting-target
Company profileWebsite

More open roles at Amazon