EDCi
Overview
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. Location & Employment Type
Location: Remote Employment Type: Part Time Role
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. 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 rapidly building 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, enabled systems, data display, and non-functional requirements 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 across systems such as DB2, E Spec, and Data Hub. Deliverables include: AI Chatbot Architecture & Core Platform Design, API Gateway & Service Layer Design, Dynamic Plugin Framework, Comprehensive Technical Documentation, Internal Developer Upskilling, and PoCs as needed.
Testing & Production Deployment Perform standard unit testing as defined in the project document (limited to 8 hours) and perform deployment activities to bring dashboards into production. Seniority
Mid-Senior level Job Function
Engineering and Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at EDCi by 2x
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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. Location & Employment Type
Location: Remote Employment Type: Part Time Role
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. 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 rapidly building 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, enabled systems, data display, and non-functional requirements 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 across systems such as DB2, E Spec, and Data Hub. Deliverables include: AI Chatbot Architecture & Core Platform Design, API Gateway & Service Layer Design, Dynamic Plugin Framework, Comprehensive Technical Documentation, Internal Developer Upskilling, and PoCs as needed.
Testing & Production Deployment Perform standard unit testing as defined in the project document (limited to 8 hours) and perform deployment activities to bring dashboards into production. Seniority
Mid-Senior level Job Function
Engineering and Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at EDCi by 2x
#J-18808-Ljbffr