Conversational AI Solution Architect

EDCi

part-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States

✨ AI Apply

Mid-LevelSenior

ASP.NETAzureCloudMicroservices.NETRDBMSSQL

About the role

Architect and lead delivery of a scalable conversational AI platform that streamlines Sales Operations workflows
Lead technical discovery sessions to align on goals, systems integration, data display, and non-functional requirements (latency, accuracy, deployment)
Design and implement secure RESTful APIs with real-time streaming (SSE) and integration with RDBMS, Flat Files, Document Storage and API-based systems
Develop a dynamic plugin framework for natural language-to-SQL translation and extensibility
Produce comprehensive technical documentation including architecture diagrams, API specs, and onboarding guides
Mentor internal developers through a co-delivery model to build long-term capability
Create PoCs to validate concepts and gain stakeholder buy-in
Perform unit testing (limited to 8 hours) and deployment activities to ensure production readiness

Expertise in .NET 9 and .NET Aspire for cloud-native microservices orchestration
Deep understanding of Microsoft Semantic Kernel for agent-based AI planning and plugin architecture
Experience with ASP.NET Core Web API and Azure OpenAI integration
Familiarity with enterprise data systems and natural language processing workflows
Strong background in API gateway design, security, and performance optimization
Proven experience in architecting AI-driven platforms and enterprise-grade applications
Strong experience to rapidly build prototypes across a variety of User Interface platforms
Experience designing and implementing secure RESTful APIs with real-time streaming (SSE)
Experience integrating with RDBMS, Flat Files, Document Storage and API-based systems
Ability to lead cross-functional teams and collaborate with stakeholders across departments
Excellent communication and documentation skills
Strong attention to detail and ability to manage multiple tasks simultaneously
Experience creating PoCs and delivering technical documentation (architecture diagrams, API specs, onboarding guides)
Mentoring or coaching internal developers through co-delivery