Solution Architect (AWS / AI)

CapNexus • New York, NY

2d • Remote

About The Position

CapNexus is seeking a Solution Architect to translate client problems into technical solutions and own the architecture that engineering teams build against. The role focuses on cloud-native applications on AWS, including serverless and container services, APIs, front ends, and generative and agentic AI features.

Time is split approximately evenly between billable client delivery as the architect on an engagement and pre-sales work scoping opportunities and designing solutions before they are sold. The architect owns the solution and estimate in pursuits; pricing and contract terms are handled separately. The role partners as a peer with the Lead Engineer, with the architect deciding the architecture and the Lead Engineer deciding the implementation approach.

CapNexus uses agentic engineering, combining agentic tooling, spec-driven development, evidence-based quality, and AI-augmented delivery governance. The architect designs for this delivery model, specifies engagement delivery tooling and validation gates, uses Claude Code and Kiro to prototype and test design assumptions, and determines where AI belongs in a solution and where human judgment is required. The architect owns the architecture quality standard and remains accountable for correctness.

Requirements

• At least 10 years of software, infrastructure, or data experience, including significant solution architecture work.
• Experience designing end-to-end solutions across application, data, infrastructure, and security.
• Strong client communication skills, including the ability to lead architecture reviews with executives and engineers.
• Hands-on experience prototyping or testing designs with AI development tools such as Claude Code or Kiro, and a clear understanding of AI tooling's capabilities and limitations in production architecture.
• 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.
• At least 5 years designing production architectures on AWS, with a working understanding of cost, scaling, security, and failure modes.
• Current AWS Certified Solutions Architect – Professional certification.
• Strong written and verbal communication skills, including producing clear design documents, proposals, and executive presentations.
• Business acumen to connect architecture choices to cost, risk, time to value, and the client's business case.
• Proven experience scoping systems and producing architectures and design documents that teams build from.
• Pre-sales or consulting experience, including discovery workshops, solution proposals, estimates, and demonstrations.

Nice To Haves

• AWS Certified Generative AI Developer – Professional (AIP-C01).
• AWS Certified Security – Specialty.
• Experience engaging AWS Professional Services during scoping.
• Background in retail.

Responsibilities

• Lead solution design for client engagements, including architecture, technology choices, integration, security, and cost.
• Author technical specifications that the engineering team validates and builds from.
• Translate business requirements into designs and roadmaps, and explain trade-offs in business terms.
• Partner with the Lead Engineer as a peer: own architectural decisions while the Lead Engineer determines the implementation approach.
• Support pursuits with solution design, estimates, and technical credibility.
• Mentor engineers on design patterns and architectural thinking.
• Design cloud-native AWS application architectures using serverless, event-driven, and container-based services, with generative and agentic AI features such as retrieval, agents, evaluation, and guardrails.
• Design end-to-end AWS architectures across compute, data, networking, security, and AI services, and review them against the AWS Well-Architected Framework.
• Lead client discovery to assess current state, requirements, constraints, integrations, and risks.
• Produce solution architecture documents, architecture decision records, non-functional requirements, and diagrams.
• Turn scoped designs into effort estimates and technical content for proposals and statements of work.
• Lead technical presentations, demonstrations, and proof-of-concept builds for clients.
• Partner with the Client Leader on pursuits, owning the solution and estimate.
• Design solutions for agentic engineering delivery, accounting for AI tooling capabilities and limitations and identifying where human judgment gates belong.
• Specify engagement delivery tooling, including agent roles, conversion tools, templates, and validation gates.
• Use Claude Code and Kiro to prototype architecture decisions, generate reference implementations, and test design assumptions.
• Assess where AI should be integrated into a solution and own the implications for integration, data, security, and cost.
• Define the architecture quality bar and remain accountable for the correctness of the work.

Benefits

• Medical benefits.
• Dental benefits.
• 401(k).
• Additional benefits not specified.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed