Lead technical discovery and define scalable architectures for custom applications, AI, and MarTech engagements. Architect production agentic AI systems with governance, observability, security, human oversight, and orchestration. Design cloud-native distributed solutions using .NET/C#, React/Next.js, Azure, APIs, databases, containers, and CI/CD. Support client pursuits, estimates, proposals, mentoring, engineering leadership, and reusable architecture patterns and AI accelerators.
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.
What You’ll Bring
• 8+ years of software engineering experience, including meaningful experience performing in an architecture capacity.
• Hands-on experience delivering agentic AI solutions in production using real business data and operational workflows, not solely prototypes, demonstrations, or controlled pilots.
• Practical experience using Claude Code to develop solutions; experience integrating Anthropic, OpenAI, or other LLM APIs is also valuable.
• Substantive depth in either .NET/C# or React/Next.js, along with credible hands-on experience and the ability to architect across both.
• Strong custom application and cloud-native architecture experience, including distributed systems, APIs, relational and non-relational databases, modern delivery practices, and integration with headless CMS platforms such as Storyblok, Sitecore, AI, or comparable solutions.
• Experience with AI governance, observability, context engineering, RAG, prompt architecture, model evaluation, and the security considerations associated with production AI systems.
• Consulting and client-facing experience with primarily commercial enterprises (e.g. not governmental entities), with the communication, judgment, adaptability, and initiative needed to guide stakeholders and move quickly across changing technologies and project needs.
Why Join RDA?
• Solve real business challenges through modern application development and AI
• Work on high-impact client projects across multiple industries
• Grow in a supportive culture that values learning and innovation
• Enjoy flexible remote work and competitive compensation
Ready to Make an Impact?
Apply today to meet our team virtually and explore whether RDA could be the right place for your next career move.
No third parties, please. Applicants must be U.S. citizens or U.S. permanent residents.
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.
What You’ll Bring
• 8+ years of software engineering experience, including meaningful experience performing in an architecture capacity.
• Hands-on experience delivering agentic AI solutions in production using real business data and operational workflows, not solely prototypes, demonstrations, or controlled pilots.
• Practical experience using Claude Code to develop solutions; experience integrating Anthropic, OpenAI, or other LLM APIs is also valuable.
• Substantive depth in either .NET/C# or React/Next.js, along with credible hands-on experience and the ability to architect across both.
• Strong custom application and cloud-native architecture experience, including distributed systems, APIs, relational and non-relational databases, modern delivery practices, and integration with headless CMS platforms such as Storyblok, Sitecore, AI, or comparable solutions.
• Experience with AI governance, observability, context engineering, RAG, prompt architecture, model evaluation, and the security considerations associated with production AI systems.
• Consulting and client-facing experience with primarily commercial enterprises (e.g. not governmental entities), with the communication, judgment, adaptability, and initiative needed to guide stakeholders and move quickly across changing technologies and project needs.
Why Join RDA?
• Solve real business challenges through modern application development and AI
• Work on high-impact client projects across multiple industries
• Grow in a supportive culture that values learning and innovation
• Enjoy flexible remote work and competitive compensation
Ready to Make an Impact?
Apply today to meet our team virtually and explore whether RDA could be the right place for your next career move.
No third parties, please. Applicants must be U.S. citizens or U.S. permanent residents.
Similar Jobs
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Design and evolve the architecture of DraftKings’ regulated prediction-markets exchange. Own the technical roadmap, distributed-system foundations, scalability, reliability, performance, operational health, and resilience testing. Collaborate with product, infrastructure, platform, brokers, market makers, and clearing partners. Contribute hands-on to critical systems, guide design standards, mentor engineers, and implement AI tooling and guardrails for engineering workflows.
Top Skills:
.NetAi ToolsC#ContainerizationContinuous DeliveryContinuous IntegrationDistributed SystemsFixGoGrpcInfrastructure As CodeKafkaLoad TestingMicroservicesNosql DatabasesObservability ToolingOrchestrationProtobufRelational Databases
Healthtech
Designs and improves build and delivery infrastructure, including CI/CD pipelines, cloud-native automation, Kubernetes platforms, and infrastructure tooling. Enables development teams, resolves delivery blockers, implements product features, contributes to platform roadmaps and architectural decisions, and ensures reliability, security, and compliance in a regulated healthcare environment.
Top Skills:
AgileAnsibleAWSAzureCi/CdCloudwatchEc2IaasIamInfrastructure As CodeKubernetesLinuxMicrosoft TechnologiesPaasRdsS3ScrumShell ScriptingTerraformUnix
Information Technology
Leads software architecture and engineering for distributed simulation systems. Responsibilities include technical direction, system integration, CI/CD and DevSecOps pipeline management, infrastructure-as-code and containerization migration, software releases, troubleshooting, hardware and lifecycle management, and operational support. Leads Agile Scrum teams, mentors engineers, reviews designs and code, translates requirements into JIRA tasks, and supports innovation across simulator capabilities.
Top Skills:
Agile ScrumC#C++Ci/CdDevsecopsDistributed Interactive SimulationDockerInfrastructure As CodeJavaJavaScriptJIRAMacePythonSQLVirtual Reality Scene Generator
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
