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# Principal Solutions Architect

- **Company:** Amazon.com, Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $201,000.0 - $272,000.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, BigQuery, Cloud Computing, Cloud Engineering, Continuous Integration, Extract Transform Load (ETL), Dataspaces, Database Design, DevOps, Distributed Computing Environment, Distributed Systems, IT Management, Open Source Technology, SAS (Software), Software Engineering, Data Streaming, AI Infrastructure, Feature Store, QLoRA, Graphics Processing Unit (GPU), Istio, Retrieval-Augmented Generation, Snowflake, Data Strategy, Discretization, Containerization, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Model Registry, Terraform, Data Pipelines, Serverless Computing, Amazon Redshift, Databricks, Microservices
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e1fbf6c031b610c2

## About the Role

* 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, * Knowledge of distributed systems design and implementation or equivalent
 * Knowledge of large scale automation and workflow management or equivalent
 * Knowledge of database design and implementation or equivalent
 * Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
 * Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

## Description

We're seeking a Principal Solutions Architect who combines deep hands-on technical expertise with the ability to build scalable mechanisms that amplify the effectiveness of our Startup Solutions Architecture team., * 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.

Domain Expertise & Hands-on Impact

 * 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 proprietary data strategy as a moat: collection, quality, labeling, governance.
 * Architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with modern analytics platforms (Snowflake, Redshift, BigQuery, Databricks).
 * Guide adoption of feature stores, vector databases, and lakehouse patterns to enable ML/RAG use cases.
 * Ensure compliance and governance across sensitive workloads (GDPR, HIPAA, SOC2).

Technical Trend Analysis & Strategic Impact

 * Maintain deep understanding of emerging technical trends in GenAI, cloud, and data ecosystems.
 * Translate insights into actionable guidance for startups and scalable mechanisms for the org.
 * Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage.

Scaling & Developer Enablement

 * Build repeatable solutions and reference architectures addressing common startup pain points.
 * Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements.
 * Act as a "co-founder whisperer" - translating complex technical trade-offs into pragmatic startup-stage guidance.