Solution Architect (AWS / AI)

New
C
CapNexusCloud and AI consulting
Location: Remote (US), with travel to client sites as neededFull-TimeSenior
Salary not disclosed
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Job Details

Experience
10+ years of software, infrastructure, or data experience, including significant solution architecture work; 5+ years designing production architectures on AWS
Required Skills
AWSGenerative AI

Requirements

  • Have 10+ years of software, infrastructure, or data experience, including significant solution architecture work.
  • Have 5+ years designing production architectures on AWS, with a working understanding of cost, scaling, security, and failure modes.
  • Hold a current AWS Certified Solutions Architect – Professional certification.
  • Have experience designing end-to-end solutions across application, data, infrastructure, and security.
  • Have a hands-on background building full-stack, cloud-native applications with AI features, such as React or Angular front ends, Python or TypeScript services, and Amazon Bedrock.
  • Have hands-on experience prototyping or testing designs with AI development tools such as Claude Code or Kiro.
  • Have experience scoping systems and producing architectures and design documents that teams build from.
  • Have pre-sales or consulting experience, including discovery workshops, solution proposals, estimates, and demos.
  • Be able to communicate architecture clearly with executives and engineers and produce design documents, proposals, and executive presentations.
  • Connect architecture choices to cost, risk, time to value, and the client's business case.

Responsibilities

  • Lead solution design for client engagements, including architecture, technology choices, integration, security, and cost.
  • Design end-to-end AWS cloud-native architectures across compute, data, networking, security, and AI services, and review them against the AWS Well-Architected Framework.
  • Lead client discovery to document current state, requirements, constraints, integrations, and risks.
  • Author technical specifications, solution architecture documents, architecture decision records, non-functional requirements, and diagrams.
  • Translate business requirements into designs and roadmaps, explaining trade-offs in business terms.
  • Scope opportunities, produce effort estimates, and contribute technical content to proposals and statements of work.
  • Lead technical presentations, demos, and proof-of-concept builds for clients.
  • Design solutions and delivery approaches that account for agentic engineering, including tooling, agent roles, and validation gates.
  • Use Claude Code and Kiro to prototype architecture decisions, generate reference implementations, and test design assumptions.
  • Mentor engineers on design patterns and architectural thinking.
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