> Markdown version of [/jobs/ext/4395134-principal-applied-ai-architect-applied-ai-data-architecture](https://www.wearedevelopers.com/jobs/ext/4395134-principal-applied-ai-architect-applied-ai-data-architecture). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Applied AI Architect, Applied AI & Data Architecture - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $182,800.0 - $247,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Frameworks, Systems Engineering, Cloud Computing, Data Architecture, Database Design, Distributed Systems, IT Management, Open Source Technology, Software Engineering, AgentCore, Agentic-AI, Information Technology, Amazon Bedrock, Data Analytics - **Published:** October 6, 2026 - **Apply:** https://dejobs.org/x/x/9B05AAFE7BD1460EA490CE916087D1A6/job/ ## About the Role * 10+ 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 Do you want to help customers build AI agents that change how work gets done? As a Principal, Solutions Architect in AWS, you will design and productionize agentic systems using services like Amazon Bedrock and AgentCore, contribute to open-source AI accelerators, and help customers adopt AI-native software development practices. Your time splits roughly 50/50 between direct customer engagements and building reusable assets that scale your impact. On the customer side, you will guide teams through hands-on architecture and unblock adoption. On the builder side, you will create reference implementations, open-source tools, and technical content that enable the broader community. This is a global role where you will maintain deep relationships with AI service teams and collaborate with specialists and builder customers across regions to stay current on capabilities and influence product roadmaps., * Design end-to-end agentic solutions for customers, making informed trade-off decisions across model selection, orchestration patterns, tool and context design, evaluation and guardrails, and latency/cost optimization. * Serve as a trusted technical advisor by diving into technical details with customer teams, identifying opportunities and risks, and leading discussions that accelerate AI service and platform adoption. * Build and contribute to open-source AI accelerators, reference implementations, and reusable frameworks that help customers and the broader community adopt agentic architectures faster. * Develop and deliver technical content such as workshops, sample code, presentations, and white papers that share best practices and lessons learned from real-world engagements. * Collaborate with internal teams including sales, engineering, and support to translate customer feedback into clear technical requirements, resolve root-cause issues, and close the loop between what customers need and what AWS builds. A day in the life You start your morning reviewing a customer's architecture proposal, preparing feedback on their scaling strategy and security posture before a design review call. After the call, you sketch out an updated reference architecture that addresses the constraints discussed. In the afternoon, you collaborate with an engineering team to document a feature request a customer raised, then wrap up by refining a workshop you are building to share best practices with a broader customer audience.