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Ai Content Engineer Jobs in Virginia (NOW HIRING)

Photon

.Net AI Architect | Onsite

Norfolk, VA · On-site

$61.50 - $80/hr

Define and own the end-to-end architecture for an agentic AI content generation platform ... Collaborate with the DevOps team to implement CI/CD pipelines, IaC (Bicep/ARM/Terraform), and ...

Photon

.Net AI Architect | Onsite

Norfolk, VA · On-site

$61.50 - $80/hr

Define and own the end-to-end architecture for an agentic AI content generation platform ... Collaborate with the DevOps team to implement CI/CD pipelines, IaC (Bicep/ARM/Terraform), and ...

ManTech

Proposal Content Developer

Herndon, VA

$119K - $199K/yr

MANTECH seeks a motivated, career and customer-oriented AI-Enabled Proposal Content Developer to join our team. This is a hybrid position, requiring onsite presence on an as-needed basis with ...

ManTech

Senior Proposal Content Developer

Herndon, VA · Hybrid

This hybrid role merges advanced proposal strategy with cutting-edge AI expertise, positioning you ... engineer complex, multi-shot prompts to produce high-fidelity content. * Content Evaluation:

Cvent

Lead Content Designer (UX)

Tysons, VA · On-site

AI at Cvent: Leading the Future Are you ready to shape the future of work at the intersection of ... Experience working with product designers, engineers, and product managers * Understand human ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · Remote

Low Code AI Engineer Location: Remote within the United States Terms: Full-time Clearance: U.S ... Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines, and ...

RIVA Solutions Inc.

Low Code AI Engineer

Reston, VA · On-site

Emphasis is placed on configuration-first development, CI/CD, data/content ingestion pipelines, and ... with AI Developers, Data Engineers, Scrum Masters, and federal stakeholders in Agile/Scrum ...

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Ai Content Engineer information

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

What are the key skills and qualifications needed to thrive as an AI content engineer?

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.
What are popular job titles related to Ai Content Engineer jobs in Virginia? For Ai Content Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Content Engineer jobs in Virginia look for? The top searched job categories for Ai Content Engineer jobs in Virginia are:
What cities in Virginia are hiring for Ai Content Engineer jobs? Cities in Virginia with the most Ai Content Engineer job openings:
Ai Content Engineer jobs near you
Infographic showing various Ai Content Engineer job openings in Virginia as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

.Net AI Architect | Onsite

Photon

Norfolk, VA • On-site

$61.50 - $80/hr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description


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 64,000
Maximum Compensation: USD 224,000
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 not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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