.Net AI Architect | Onshore (Dallas/Virginia)

Posted Yesterday
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2 Locations
In-Office or Remote
56K-196K Annually
Senior level
Agency • Information Technology
The Role
Design and own an end-to-end, agentic AI content generation platform using .NET and Azure. Architect event-driven agents, RAG pipelines with Azure OpenAI and Cognitive Search, integrate third-party and WordPress APIs, ensure multitenancy, security, observability, and CI/CD with IaC. Collaborate with DevOps to deliver scalable, auditable content automation.
Summary Generated by Built In

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 
    Compensation, Benefits and Duration

    Minimum Compensation: USD 56,000
    Maximum Compensation: USD 196,000
    Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
    Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
    This position is available for independent contractors
    No applications will be considered if received more than 120 days after the date of this post

Skills Required

  • .NET Core 7.0+ with ASP.NET Core APIs and Dependency Injection
  • Azure Functions and Durable Functions
  • Azure Event Grid and Service Bus
  • Azure Blob Storage and Azure Cognitive Search
  • Azure OpenAI / OpenAI, RAG pattern, and prompt engineering
  • REST API development and external API consumption
  • SQL Server and Cosmos DB
  • Azure DevOps or GitHub Actions for CI/CD
  • IaC using Bicep/ARM (Terraform mentioned in responsibilities)
  • Event-driven, agent-based systems, microservices, API-first architecture
  • OAuth2 and managed identity for secure API access
  • WordPress integration via REST/GraphQL APIs and CRM/analytics ingestion
  • Documentation with Mermaid diagrams, ADRs, and Swagger/OpenAPI specs
  • Experience building content automation or AI-based CMS tools
  • Familiarity with SEO strategy, schema.org, and headless CMS patterns
  • Multi-brand/multi-site architecture experience
  • Understanding of semantic search, vector DBs, and embeddings
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