> Markdown version of [/jobs/ext/3881165-aws-solution-architect-with-ai](https://www.wearedevelopers.com/jobs/ext/3881165-aws-solution-architect-with-ai). 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). --- # AWS Solution Architect with AI - **Company:** Sunrise Systems, Inc - **Location:** United States - **Experience:** Expert - **Salary:** $106,080 - $112,320 - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Integration, Software Deployment, Enterprise Data Management, Spring Cloud, Retrieval-Augmented Generation, Generative AI, Event Driven Architecture, Amazon Bedrock, Data Management, Serverless Computing, Microservices - **Published:** October 23, 2026 - **Apply:** https://www.dice.com/job-detail/838e85e1-e480-4136-890a-efb370e9ac9c ## About the Role The ideal candidate should be capable of designing the AWS architecture from the ground up, establishing foundational patterns and governance, and providing hands-on leadership through architecture, design, and implementation activities. Key requirements: * 10 years of solution architecture experience, including large-scale AWS cloud platform design and implementation. * Strong expertise in cloud-native applications, APIs, microservices, serverless, and event-driven architectures. * Experience building enterprise data platforms, analytics solutions, and data integration ecosystems in AWS. * Hands-on experience with Generative AI, Amazon Bedrock, RAG architectures, knowledge bases, and AI-enabled applications. * Proven ability to establish architecture standards, governance, security patterns, and operational best practices. * Technical leadership experience guiding implementation teams from architecture through production deployment. ## Description Looking for an experienced AWS Solutions Architect who can help define, architect, and lead the implementation of future digital platform capabilities in AWS. While the initial focus will be on building Generative AI and AI-powered customer capabilities, the long-term vision is to establish a scalable AWS ecosystem that supports digital applications, data platforms, analytics, integrations, and future innovation initiatives across the organization.