Overview
On Site
Depends on Experience
Full Time
Skills
.NET
ARM
ASP.NET
Artificial Intelligence
Customer Relationship Management (CRM)
DevOps
GraphQL
GitHub
Data Integration
Prompt Engineering
WordPress
Storage
LLM
Open AI
Job Details
Job Title: .NET Solution Architecture
Location: Virginia Beach, VA (Onsite)
Key Responsibilities
Solution Architecture: Define and own the end-to-end architecture for an agentic AI content generation platform, leveraging Azure services, .NET, and OpenAI.
Agent-Oriented Design: Architect modular, event-driven agents for content generation
Data Integration: Build connectors to third-party APIs and harmonize structured/unstructured data for LLM prompts.
AI Orchestration: Design pipelines using Retrieval-Augmented Generation (RAG) patterns with Azure Cognitive Search and Azure OpenAI.
Headless Publishing: Integrate with WordPress via REST/GraphQL APIs for seamless page creation, preview, and publishing.
Scalability & Performance: Design for multitenancy, high-availability, and elastic scale using Azure Functions, Service Bus, and Durable Functions.
Security & Governance: Implement secure API authentication, rate-limiting, observability, and prompt logging for compliance and auditability.
DevOps & Delivery: Collaborate with the DevOps team to implement CI/CD pipelines, IaC (Bicep/ARM/Terraform), and automated testing.
Required Skills
Area | Skills |
.NET Core | 7.0+, ASP.NET Core APIs, Dependency Injection |
Cloud | Azure Functions, Event Grid, Service Bus, Blob Storage, Cognitive Search |
AI/LLM | Azure OpenAI, RAG pattern, prompt engineering |
Data | REST APIs, SQL Server, Cosmos DB, external API consumption |
DevOps | Azure DevOps, GitHub Actions, Bicep/ARM |
Architecture | Event-driven, agent-based systems, microservices, API-first design |
Security | OAuth2, managed identity, secure API access |
Integration | WordPress REST/GraphQL APIs, CRM data, analytics ingestion |
Documentation | Mermaid diagrams, architectural decision records (ADR), Swagger/OpenAPI specs |
Preferred Experience
Experience building content automation or AI-based CMS tools
Familiarity with SEO strategy, schema.org, and headless CMS patterns
Experience with multi-brand/multi-site architecture
Understanding of semantic search, vector DBs, and embeddings
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.