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Generative Ai Developer Jobs in Virginia (NOW HIRING)

Jobtailor

AI-Native Software Engineer

Arlington, VA · On-site

$140 - $190/hr

Prototype and evaluate emerging AI developer tooling (agent frameworks, code copilots, automated testing agents) * Mentor engineering teams on effective use of generative AI in development workflows

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Generative Ai Developer information

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$44

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How much do generative ai developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for generative ai developer in Virginia is $44.90, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $54.33 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Virginia?

For Generative Ai Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Virginia look for?

The top searched job categories for Generative Ai Developer jobs in Virginia are:

What cities in Virginia are hiring for Generative Ai Developer jobs?

Cities in Virginia with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $93,392 per year, or $44.9 per hour.

Generative AI Developer with RPA Expertise

Ampcus Inc

Chantilly, VA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking a highly motivated Generative AI Developer with RPA expertise to lead the design and implementation of intelligent automation solutions that transform business operations by automating workflows.
Responsibilities:
• Design, develop, and deploy end-to-end GenAI RPA solutions independently with minimal supervision
• Integrate Generative AI capabilities (OpenAI, Azure OpenAI, Claude, etc.) into automation workflows
• Engineer effective prompts, manage embedding strategies, and orchestrate LLM pipelines using tools such as LangChain or LlamaIndex
• Build intelligent bots and GenAI solutions that interact with internal/external systems, including those that understand structured and unstructured documentation (e.g., test cases, manuals, requirements)
• Automate complex business workflows involving document understanding, unstructured data parsing, and contextual decision-making
• Collaborate with business and IT stakeholders to understand automation needs, and translate them into functional solutions
• Ensure compliance with enterprise security, performance, and governance standards
• Create reusable components, documentation, and handoff materials for broader automation teams
• Stay current on advancements in GenAI, automation platforms, and AI-driven productivity tooling
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5–7 years of experience in software development or automation, including hands-on project leadership
• Strong proficiency with at least one RPA platform (UiPath, Automation Anywhere, Blue Prism, or Power Automate)
• Proven experience building or integrating GenAI/LLM-based solutions (e.g., GPT-4, Claude, etc.), with the ability to extract insights from large document sets and generate outputs like test cases or summaries
• Expertise in Python (or equivalent scripting language) for workflow orchestration, API calls, and automation glue logic
• Experience working with vector databases (FAISS, Pinecone, Azure Cognitive Search, etc.) and retrieval-augmented generation (RAG) pipelines
• Deep understanding of RESTful APIs, webhooks, and system integrations
• Familiarity with GenAI frameworks such as LangChain, LlamaIndex, or equivalent
• Demonstrated ability to work independently, manage priorities, and deliver high-quality outcomes in a dynamic environment
Preferred:
• Experience with document processing/OCR tools (e.g., Azure Form Recognizer, ABBYY, Tesseract)
• Exposure to enterprise platforms like Salesforce, SAP, ServiceNow, or Workday
• Familiarity with CI/CD, DevOps, and version control practices
• Experience applying LLMs to QA use cases, such as test case generation, test coverage analysis, or requirements traceability
• Knowledge of data privacy, prompt injection mitigation, and LLM safety considerations
• Relevant certifications such as: UiPath Certified RPA Developer, Microsoft Azure AI Engineer Associate, OpenAI Developer credentials or equivalents
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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