.Net AI Architect | Onshore; Dallas​/Virginia

Job Title

Solution Architect for Agentic AI Content Generation Platform

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 Word Press 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.

Dev Ops & Delivery:
Collaborate with the Dev Ops 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

Dev Ops
- Azure Dev Ops, Git Hub Actions, Bicep/ARM

Architecture
- Event-driven, agent-based systems, microservices, API-first design

Security - OAuth2, managed identity, secure API access

Integration
- Word Press 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. 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

Job Info

Job Identification 24548

Job Category Product Management

Locations 800 Independence Blvd, Virginia Beach, VA, Norfolk, Virginia, US