DC International
Conversational AI Solution Architect
DC International, Appleton, Wisconsin, United States, 54914
Position
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 an enterprise-grade AI-powered conversational platform that enables AI to interact with data and knowledge across the following systems: DB2, E Spec, Data Hub. We aim to have a system built with .NET 9 and Microsoft Semantic Kernel, combining 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 — scalable conversational AI platform using .NET 9, Microsoft Semantic Kernel, and .NET Aspire. API Gateway & Service Layer Design — secure RESTful APIs with real-time streaming and integration with external systems like E Spec and Data Hub. Dynamic Plugin Framework — modular plugin system enabling flexible function calling, natural language-to-SQL translation, and extensibility. Comprehensive Technical Documentation — system architecture diagrams, API specifications, and developer onboarding guides. Internal Developer Upskilling — partnership with internal developers in a part-time co-delivery model to transfer knowledge and build capability. PoCs — development of PoCs to convey concepts and gain 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 dashboards are ready and available in production.
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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 an enterprise-grade AI-powered conversational platform that enables AI to interact with data and knowledge across the following systems: DB2, E Spec, Data Hub. We aim to have a system built with .NET 9 and Microsoft Semantic Kernel, combining 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 — scalable conversational AI platform using .NET 9, Microsoft Semantic Kernel, and .NET Aspire. API Gateway & Service Layer Design — secure RESTful APIs with real-time streaming and integration with external systems like E Spec and Data Hub. Dynamic Plugin Framework — modular plugin system enabling flexible function calling, natural language-to-SQL translation, and extensibility. Comprehensive Technical Documentation — system architecture diagrams, API specifications, and developer onboarding guides. Internal Developer Upskilling — partnership with internal developers in a part-time co-delivery model to transfer knowledge and build capability. PoCs — development of PoCs to convey concepts and gain 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 dashboards are ready and available in production.
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