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Generative Ai Developer Jobs in Vienna, VA (NOW HIRING)

QualX Corporation

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

Job Title AI Developer Location Springfield, VA 22150 US (Primary) Category Information Technology ... generative AI applied to document/records processing. * Familiarity with cloud environments (AWS ...

Interon IT Solutions

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

The role will focus on developing intelligent workflows, implementing generative AI capabilities ... Implement prompt engineering strategies and retrieval-augmented generation (RAG) patterns. * Train ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

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Showing results 21-40

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Vienna, VA

Generative Ai Developer information

See Vienna, VA salary details

$19

$45

$101

How much do generative ai developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for generative ai developer in Vienna, VA is $45.46, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $55.00 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 Vienna, VA?

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

What job categories do people searching Generative Ai Developer jobs in Vienna, VA look for?

The top searched job categories for Generative Ai Developer jobs in Vienna, VA are:

What cities near Vienna, VA are hiring for Generative Ai Developer jobs?

Cities near Vienna, VA with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Vienna, VA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $94,548 per year, or $45.5 per hour.

Generative AI Engineer (Clearance Required)

InterImage

Arlington, VA • On-site

$60.75 - $83/hr

Full-time

Re-posted 11 days ago

Job description

InterImage is looking for engineers who thrive where innovation meets execution. Our Product Division rapidly transforms emerging technologies into operational capabilities supporting mission-critical customers. This isn't a research-only position. You'll take Generative AI concepts from proof of concept to production, designing, developing, deploying, and continuously improving AI-powered applications that solve real-world operational problems. If you enjoy building with the latest LLMs, experimenting with emerging AI technologies, and deploying secure cloud-native solutions in Azure, we'd like to meet you.

What You'll Do

  • Design and build Generative AI applications using commercial and open-source Large Language Models (LLMs).
  • Develop proof-of-concepts that evolve into production-ready software.
  • Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources.
  • Build intelligent agents and AI workflows capable of reasoning, automation, and decision support.
  • Develop REST APIs and backend services supporting AI applications.
  • Deploy scalable AI solutions within Microsoft Azure environments.
  • Design cloud-native architectures using Azure AI Services, Azure OpenAI, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage.
  • Build CI/CD pipelines supporting rapid AI deployment and model iteration.
  • Integrate AI capabilities into existing enterprise applications and mission systems.
  • Evaluate emerging AI technologies and rapidly prototype new capabilities.
  • Collaborate with software engineers, cloud architects, data scientists, and mission stakeholders to deliver innovative solutions.
  • Optimize model performance, latency, scalability, security, and cost.
  • Implement responsible AI practices, prompt engineering strategies, guardrails, and model evaluation techniques.

Requirements

  • Active Top Secret Clearance
  • 5+ years of software development experience.
  • 2+ years developing Generative AI or Machine Learning applications.
  • Strong Python development experience.
  • Experience working with Large Language Models including GPT, Llama, Claude, Mistral, or similar models.
  • Experience with prompt engineering and AI workflow development.
  • Experience building APIs using FastAPI, Flask, or similar frameworks.
  • Experience deploying cloud-native applications in Microsoft Azure.
  • Familiarity with containerization technologies including Docker and Kubernetes.
  • Experience with Git, CI/CD pipelines, and DevSecOps practices.
  • Strong understanding of software architecture and distributed systems.
Preferred Qualifications
  • Experience with Azure OpenAI Service.
  • Experience building Retrieval-Augmented Generation (RAG) systems.
  • Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.
  • Experience with vector databases such as Pinecone, Milvus, pgvector, Azure AI Search, or Chroma.
  • Experience developing AI agents and autonomous workflows.
  • Familiarity with MCP (Model Context Protocol) and agent interoperability concepts.
  • Experience with model evaluation, observability, and prompt optimization.
  • Experience deploying AI solutions in secure or classified environments.
  • Familiarity with Infrastructure as Code using Terraform or Bicep.
  • Knowledge of Azure Machine Learning, Azure AI Foundry, or Azure Cognitive Services.

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