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Contract Generative Ai Jobs in Springfield, VA (NOW HIRING)

campus4tech

AI Architect

Fairfax, VA · On-site

$62.50 - $82.50/hr

AI Architect Contract Duration: 6 Month Contract to Hire Location: Fairfax, VA (4-5 days' on-site ... NLP & Generative AI * Some exposure to Computer Vision * Data engineering fundamentals (Pandas ...

Mission Bridge Partners

Be Seen First

Principal Solutions Architect - AI & Cloud Modernization

Mclean, VA · On-site

$215K - $240K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Architect AI-enabled solutions utilizing Generative AI, LLMs, AI Agents, intelligent automation ... Experience supporting Federal contract pursuits valued at $50M or greater, including technical ...

PB consulting

GenAI Test Automation Engineer

Burke, VA

$45.50 - $60/hr

Experience using Generative AI tools such as GitHub Copilot and Claude. * Strong knowledge of AI ... Karate (API testing, contract testing, data-driven testing) * Playwright (UI automation, selectors ...

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All JobsContract Generative Ai JobsContract Generative Ai Jobs in Springfield, VA

Contract Generative Ai information

See Springfield, VA salary details

$42.8K

$110.8K

$145.2K

How much do contract generative ai jobs pay per year?

As of Aug 14, 2026, the average yearly pay for contract generative ai in Springfield, VA is $110,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $124,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in a contract generative AI role, and how can they be addressed?

Professionals working in contract Generative AI roles often encounter challenges such as rapidly adapting to new project requirements, integrating with existing client teams, and staying updated with the latest advancements in AI models and tools. Because contract positions may have tight deadlines and shifting priorities, effective communication and proactive project management are essential. Building a strong portfolio, maintaining up-to-date technical skills, and fostering collaborative relationships with client stakeholders can help address these challenges and lead to successful project outcomes.

What is a contract generative AI?

A Contract Generative AI professional is an expert who works on a contractual basis to develop, implement, or manage generative artificial intelligence solutions for organizations. This role typically involves creating AI models that can generate content, images, text, or other data using advanced machine learning techniques. Contract Generative AI professionals may work on specific projects such as building chatbots, automating content creation, or developing creative AI tools. Their expertise is often sought for temporary assignments, allowing companies to leverage AI capabilities without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a contract generative AI?

To thrive as a Contract Generative AI Specialist, you need a solid background in machine learning, deep learning, and natural language processing, often backed by a degree in computer science or related fields. Experience with frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and familiarity with cloud platforms and model deployment tools are typically required. Strong problem-solving skills, adaptability, and clear communication help professionals excel in dynamic project environments and collaborate with diverse stakeholders. These competencies ensure the effective design, implementation, and delivery of advanced AI solutions that meet client needs and industry standards.

What is the difference between Contract Generative Ai vs Data Scientist?

AspectContract Generative AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI tools are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentProject-based, often freelance or temporary contracts, working with AI models and toolsFull-time or consulting roles within organizations, analyzing data to inform decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI model deploymentVarious industries including finance, healthcare, tech, and marketing, focusing on data analysis

Contract Generative Ai specialists focus on developing and deploying AI models on a contractual basis, often working with specific projects. Data Scientists analyze data to extract insights, typically in a full-time role. While both roles require technical expertise, Contract Generative Ai professionals are more specialized in AI model creation, whereas Data Scientists focus on data analysis and interpretation.

Can you get a job with Contract Generative Ai?

Contract Generative AI roles involve developing and deploying AI models for specific projects on a temporary basis. These positions often require skills in machine learning, natural language processing, and familiarity with AI tools, and they can be found through freelance platforms or contract job listings. Opportunities depend on industry demand and individual expertise in AI technologies.

What are the most commonly searched types of Generative Ai jobs in Springfield, VA?

The most popular types of Generative Ai jobs in Springfield, VA are:

What are popular job titles related to Contract Generative Ai jobs in Springfield, VA?

For Contract Generative Ai jobs in Springfield, VA, the most frequently searched job titles are:

What cities near Springfield, VA are hiring for Contract Generative Ai jobs?

Cities near Springfield, VA with the most Contract Generative Ai job openings:

Contract Generative Ai jobs near you
Infographic showing various Contract Generative Ai job openings in Springfield, VA as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $110,755 per year, or $53.2 per hour.

Senior Azure AI Foundry Engineer

Interon IT Solutions

Chantilly, VA • Remote

$61.50 - $79.75/hr

Contractor

Posted 23 days ago

Job description

#W2 Role
 
Senior Azure AI Foundry Engineer
Location: Remote
Employment Type: W2 Contract
Experience: 8+ Years
 
Job Description
We are seeking an experienced Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade generative AI solutions on the Microsoft Azure platform. The ideal candidate should have strong experience with Azure AI Foundry, Azure OpenAI, Retrieval-Augmented Generation, AI agents, Python, and cloud-native application development.
 
Key Responsibilities
Design and develop generative AI applications using Azure AI Foundry and Azure OpenAI.
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings, and enterprise data sources.
Develop AI agents capable of interacting with APIs, databases, documents, and other business systems.
Design prompt workflows, system instructions, tool-calling processes, and multi-step agent workflows.
Develop backend AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
Integrate structured and unstructured data from Azure Data Lake, Blob Storage, SQL databases, SharePoint, and enterprise applications.
Implement document ingestion, chunking, embedding, indexing, retrieval, and response-generation pipelines.
Evaluate AI applications for response accuracy, relevance, groundedness, safety, latency, and overall performance.
Implement responsible AI controls, content filtering, prompt-injection protection, access controls, and data-security standards.
Monitor AI applications using Azure Monitor, Application Insights, logging, tracing, and Foundry observability capabilities.
Deploy and manage AI solutions using Azure Functions, Azure App Service, Azure Container Apps, AKS, or similar Azure services.
Build automated CI/CD pipelines using Azure DevOps or GitHub Actions.
Collaborate with data engineers, data scientists, architects, business analysts, and product teams.
Troubleshoot issues related to model responses, data retrieval, integrations, application performance, and cloud deployment.
Prepare technical design documents, architecture diagrams, deployment guides, and operational documentation.
 
Required Skills
8+ years of overall software engineering, data engineering, cloud, or AI development experience.
Strong hands-on experience with Azure AI Foundry or Microsoft Foundry.
Experience with Azure OpenAI models, embeddings, chat completions, and model deployments.
Strong experience developing RAG-based applications.
Hands-on experience with Azure AI Search, vector search, semantic search, and hybrid search.
Strong programming experience with Python.
Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Experience with prompt engineering, function calling, tool calling, and AI agent development.
Understanding of LLM evaluation, hallucination reduction, groundedness, responsible AI, and content safety.
Experience with Azure services such as Blob Storage, Data Lake, Key Vault, Functions, App Service, Container Apps, AKS, and Application Insights.
Experience working with SQL, NoSQL, document databases, or vector databases.
Experience with Git, Azure DevOps, GitHub Actions, Docker, and CI/CD processes.
Strong communication, analytical, troubleshooting, and documentation skills.
 
Preferred Skills
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or Microsoft Agent Framework.
Experience with Azure Machine Learning, Microsoft Fabric, or Azure Data Factory.
Experience building conversational AI, enterprise copilots, or intelligent document-processing solutions.
Knowledge of model evaluation, red-team testing, prompt-flow testing, and AI application monitoring.
Experience implementing Microsoft Entra ID, managed identities, RBAC, private endpoints, and enterprise security controls.
Microsoft Azure AI Engineer or Azure Solutions Architect certification is preferred.