Solution Architect (AWS / AI)

Role overview

Own the architecture for client engagements building cloud-native applications on AWS, including services that use generative or agent-based AI. The role combines hands-on client delivery with pre-sales solution design, splitting time roughly evenly between the two. You will turn business needs into architectures and specifications that engineering teams can validate and implement.

Responsibilities - Lead discovery with client stakeholders to understand existing systems, requirements, integrations, constraints, and risks. - Design end-to-end AWS solutions across applications, data, networking, security, and AI, balancing reliability, cost, and scale. - Specify serverless, event-driven, and container-based applications, including appropriate AI retrieval, agent, evaluation, and safety controls. - Produce architecture documents, decision records, diagrams, and non-functional requirements for delivery teams. - Support proposals and pursuits with solution designs, estimates, presentations, demonstrations, and proof-of-concept work. - Set architecture quality expectations, collaborate with engineering leads, and mentor engineers in design practices.

Requirements - 10+ years in software, infrastructure, or data, including substantial solution architecture experience; at least five years designing production systems on AWS. - Current AWS Certified Solutions Architect – Professional certification. - Experience building full-stack cloud applications with AI features, and prototyping or assessing designs with AI development tools. - Ability to design across application, data, infrastructure, and security, with an understanding of cost, scaling, and failure modes. - Experience leading client discovery and producing designs and estimates that teams can deliver from. - Strong written and verbal communication, including presenting technical trade-offs to both executives and engineers. - Consulting or pre-sales experience with workshops, proposals, estimates, or demos; sound judgment about AI output and production risks.

Nice to have

AWS Generative AI Developer – Professional or Security – Specialty certification, experience working with AWS Professional Services during scoping, or a retail background.

Benefits and work setup

Full-time, remote within the United States, with travel to client sites as needed. Medical and dental coverage and a 401(k) are offered.