Conversational AI Solution Architect

Remote
Part Time
EDCi
Mid Level
Conversational AI Solution Architect
Location: Remote
Employment Type: Part Time

EDCi provides infrastructure and call center technology services and solutions to clients throughout the United States. Through our partnership and certifications with leading technology providers including Citrix, Cisco, Genesys, IBM and Microsoft, our customers receive the highest quality of product and service the industry has to offer.

We are seeking a highly skilled Solution Architect to lead the design and development of an enterprise-grade AI-powered chatbot platform. This role will drive technical strategy and execution using .NET 9, Microsoft Semantic Kernel, and .NET Aspire, enabling natural language interactions across complex data systems.

Come join a high-performance team! At EDCi, we are more than just technologists. We are a team passionate about the work we do and a family dedicated to building on our strengths and improving our challenges both individually and collectively. EDCi is an organization that takes pride in recognizing balance and the importance of family. If you’re a talented professional looking to help lead a cutting-edge growing company and seek a flexible, family-oriented work environment, we want to talk to you!


RESPONSIBILITIES:
 
  • 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 (e.g., 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.

ESSENTIAL TECHNICAL SKILLS
 
  • 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.

QUALIFICATIONS:
  • Strong attention to detail and ability to manage multiple tasks simultaneously.
  • Strong experience to rapidly build prototypes across a variety of User Interface platforms
  • Proven experience in architecting AI-driven platforms and enterprise-grade applications.
  • Strong background in API gateway design, security, and performance optimization.
  • Ability to lead cross-functional teams and collaborate with stakeholders across departments.
  • Excellent communication and documentation skills.
PROJECT SCOPE & APPROACH:
  • The following items will be addressed in the scope of this project.
  • Discovery
    • Conduct discovery meetings to ensure alignment on:
      •  Overall goals of the effort and success definition
      •  The systems that will be enabled via the Chatbot
      • Display of the data
      •  Non-functional requirement definition, including response time, accuracy, and deployment pattern
  • Technical Leadership
    • Drive the technical solution and leadership of the development of enterprise-grade AI-powered conversational platform that that enables KI to interact with data and knowledge across the following systems:
      • DB2
      • E Spec
      • Data Hub
    • We aim to have a system that is built with .NET 9 and Microsoft Semantic Kernel, the platform combines sophisticated agent-based AI planning with extensible plugin architectures, enabling natural language interactions that can execute complex multi-step data queries, perform intelligent analysis, and deliver contextual insights across multiple data sources.
    • Deliverables include:
      • AI Chatbot Architecture & Core Platform Design - Designed and delivered a scalable conversational AI platform using .NET 9, Microsoft Semantic Kernel, and .NET Aspire.
      • API Gateway & Service Layer Design - Design of secure, RESTful APIs with full support for real-time streaming (SSE) and integration with external systems like E Spec and Data Hub
      • Dynamic Plugin Framework - Design and architecture of a modular plugin system enabling flexible function calling, natural language-to-SQL translation, and future extensibility.
      • Comprehensive Technical Documentation - Deliver system architecture diagrams, API specifications, and developer onboarding guides to support maintainability and scale.
      • Internal Developer Upskilling - Partner with internal developers in a part-time co-delivery model to transfer knowledge and build long-term capability.
      • PoCs - Development of PoC's as needed to be able to help convey concepts and get buy-in.      
  • Testing & Production Deployment
  • Perform standard unit testing as defined later in the document under "Testing Definitions". Unit testing will be limited to 8 hours.
  • Perform deployment activities to ensure that the new dashboards are ready and available to be used in a production environment.
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