5 days ago
Remote, United StatesStaff+
Responsibilities
- Lead solution architecture, technology selection, integration, security, cost, and technical quality for client engagements.
- Translate business requirements into architectures, roadmaps, technical specifications, architecture decision records, non-functional requirements, and diagrams.
- Design end-to-end AWS architectures spanning compute, data, networking, security, and AI services, including serverless, event-driven, and container-based systems.
- Design and integrate generative and agentic AI capabilities including retrieval, agents, evaluation, and guardrails.
- Lead client discovery, architecture reviews, technical presentations, demos, and proof-of-concept builds.
- Support pre-sales pursuits through solution design, scoping, estimates, proposals, and statements of work.
- Define agent roles, conversion tools, templates, validation gates, and delivery approaches for agentic engineering.
- Prototype architecture decisions and test design assumptions using Claude Code and Kiro.
- Mentor engineers and partner with the Lead Engineer, owning architecture while the Lead Engineer owns implementation approach.
Requirements
- 10+ years of software, infrastructure, or data experience, including significant solution architecture work.
- At least 5 years designing production architectures on AWS, with understanding of cost, scaling, security, and failure modes.
- Experience designing end-to-end solutions across application, data, infrastructure, and security.
- 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.
- Hands-on experience prototyping or testing designs with AI development tools such as Claude Code or Kiro.
- Current AWS Certified Solutions Architect – Professional certification.
- Strong client communication, written communication, design documentation, proposal writing, and executive presentation skills.
- Experience scoping systems and producing architectures and design documents that engineering teams build from.
- Pre-sales or consulting experience involving discovery workshops, solution proposals, estimates, and demos.
- Solid business acumen connecting architecture decisions to cost, risk, time to value, and business cases.
- Preferred qualifications include AWS Certified Generative AI Developer – Professional, AWS Certified Security – Specialty, experience with AWS Professional Services during scoping, and a retail background.
Benefits
- Full-time position.
- Medical, dental, 401(k), and additional benefits.
- Remote in the US, with travel to client sites as needed.
Tech Stack
Categories
Solutions Engineering
About Capnexus
CapNexus builds and supports enterprise and retail technology solutions, including POS and ERP implementations, custom application development, and cloud/AI modernization. The privately held firm is headquartered in Middletown, New York and offers consulting, implementation, and managed services across AWS, data/analytics, and quality assurance. Formed by unifying Capstone Integrated Solutions, RPE Solutions, and Makira, it serves retailers and other enterprises modernizing operations and customer experience.