Software Architect

🏢 RDA
📍 United States
📅 Posted Sep 10, 2026 · via WorkableBoard
🏷 Remote
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About RDA

RDA is a strategy-first, AI-driven digital consultancy that partners with enterprise organizations to deliver scalable digital solutions across strategy, engineering, and data. Proud to be a multi-year Great Place to Work certified company. 

About the Role

RDA is seeking a hands-on Software Architect to define the technical vision for complex custom application, AI, and MarTech engagements. You will translate business requirements into scalable, secure architectures and guide solutions from discovery through delivery.

In this client-facing role, you will architect production agentic AI solutions, establish governance and observability practices, and ensure appropriate human review and controls. You will remain hands-on with tools such as Claude Code while leading teams, supporting pursuits, mentoring engineers, and contributing reusable patterns and accelerators.

Location : This is a remote U.S.-based position.  Candidates located in the Eastern time zone are preferred, with Central time zone candidates also considered.  RDA is unable to hire candidates residing in California, Colorado, Oregon, or Washington.

What You’ll Do
- Lead technical discovery and define end-to-end architectures for custom application, AI, and MarTech engagements, including system diagrams, data flows, integration patterns, and technical roadmaps. 

- Architect and help deliver production agentic AI solutions, including tool use, function calling, multi-agent workflows, human-in-the-loop checkpoints, memory and state management, and autonomous task orchestration. 
- Use Claude Code and other modern AI-assisted development tools to build, validate, troubleshoot, and accelerate solutions while maintaining strong engineering and security standards.  
- Evaluate AI opportunities during the architecture phase and make informed build, integrate, and orchestrate decisions based on business needs, risk, scalability, and maintainability. 
- Establish AI governance and observability practices, including output monitoring, evaluation, access controls, data protection, human verification, and safeguards against risks such as prompt injection and data leakage. 
- Design cloud-native, distributed applications using .NET/C#, React/Next.js, Azure, modern APIs, microservices, event-driven patterns, databases, containerization, and CI/CD. 
- Partner with clients, business stakeholders, and pursuit teams to shape solutions, support technical discovery, develop estimates, and contribute to proposals and statements of work. 
- Mentor engineers, strengthen architectural thinking across delivery teams, and create reusable application patterns, AI accelerators, agentic workflow blueprints, and integration frameworks.

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