Solutions Architect,
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Requirements
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Additional Information
Application deadline: Jun 29, 2026 Across state and local government and education, the software that powers everyday public services is being rebuilt around generative AI and agentic systems. We are looking for a Solutions Architect who wants to be at the front of that wave, helping Independent Software Vendors (ISVs) reimagine their products on AWS so the public servants who depend on them can do more with less. AWS is hiring a Solutions Architect to accelerate our EdTech and GovTech business inside the Worldwide Public Sector organization. You will work directly with the leadership and engineering teams of ISVs whose software powers everything from 911 dispatch and digital evidence to court case management, permitting and licensing, and benefits eligibility. Your job is to help them architect, build, and scale modern AWS-native applications, with a particular focus on generative AI, agentic patterns, and the data foundations that make both work in regulated environments. As an SA on this team, you will own the technical relationship with a portfolio of EdTech and GovTech ISVs. You will guide product and platform decisions, lead deep technical discussions on architecture and security, and help these customers turn AI prototypes into production systems that meet the bar their public-sector buyers require, working alongside teams whose products operate in regulated environments such as FedRAMP, StateRAMP, and CJIS. A lot of this work is foundational. You will help customers pick the right compute, design durable and well-modeled data architectures across relational, NoSQL, and analytics stores, get networking and identity right, and run cost-effectively at scale. The AI capabilities your customers want to ship are only as good as the platforms underneath them, and you will spend real time on those primitives. Key job responsibilities * Own the technical engagement and outcomes for a portfolio of Public Sector EdTech/GovTech accounts, from discovery through production scale. * Lead technical deep-dives, whiteboarding sessions, and executive briefings. * Guide foundational architecture decisions across compute, storage, networking, identity, and databases, helping customers choose between EC2, EKS, ECS, and Lambda, and across RDS, Aurora, DynamoDB, and analytics services for the workload at hand. * Lead architecture and design conversations on generative AI applications built on Amazon Bedrock, including agentic patterns, retrieval, evaluations, and guardrails appropriate for public-sector workloads. * Partner with customers on the security, data-governance, and architectural decisions that shape how their products serve state and local government and public safety buyers. * Help customers modernize core platforms onto AWS using containers, serverless, and managed data services so their AI roadmap has a foundation to stand on, and help them tune those platforms for performance, reliability, and cost as they scale. * Stay current with the AWS service roadmap and the EdTech/GovTech market, and translate both into concrete recommendations for your customers.
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