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Generative Ai Developer Jobs in Washington (NOW HIRING)

The focus will be on transforming Generative AI, Natural Language Processing (NLP), and Agentic AI ... Engineer NLP pipelines for classification, summarization, and information extraction tasks. * Build ...

Senior AI Developer

Mclean, VA ยท 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 ...

ServiceNow AI Developer

Chantilly, VA ยท Remote

$55.25 - $76/hr

The role will focus on developing intelligent workflows, implementing generative AI capabilities ... engineering strategies and retrieval-augmented generation (RAG) patterns. โ€ข Train and tune ...

Senior AI Developer

Mclean, VA ยท 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 ...

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 ...

Senior AI Developer

Mclean, VA ยท 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 ...

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 ...

Senior AI Developer

Mclean, VA ยท 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 ...

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 ...

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 ...

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 ...

AI Developer / Product SME

Mclean, VA ยท On-site

$145K - $185K/yr

Overview We are seeking an experienced AI Developer / Product SME to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution ...

Data Scientist (Generative AI)

Mclean, VA ยท On-site

$125K - $160K/yr

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Work closely with ML Engineers and Software Developers to transition models from a research and ...

Data Scientist (Generative AI)

Mclean, VA ยท On-site +1

$125K - $160K/yr

... Generative AI technology in supporting Federal use cases. We are looking for a more than just a ... Work closely with ML Engineers and Software Developers to transition models from a research and ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for generative ai developer in Washington is $51.29, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $62.07 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

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 job categories do people searching Generative Ai Developer jobs in Washington look for? The top searched job categories for Generative Ai Developer jobs in Washington are:
What cities in Washington are hiring for Generative Ai Developer jobs? Cities in Washington with the most Generative Ai Developer job openings:
Infographic showing various Generative Ai Developer job openings in Washington as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $106,690 per year, or $51.3 per hour.

AI/ML Developer

Zvolvant

Washington, DC โ€ข On-site

Other

Posted 21 days ago


Job description

AI/ML DeveloperIntroduction

Zvolvant is currently seeking a Senior AI Developer to lead the design and implementation of advanced AI systems that support federal mission objectives. The focus will be on transforming Generative AI, Natural Language Processing (NLP), and Agentic AI solutions into secure, enterprise-level deployments using Microsoft Azure AI technologies.

Responsibilities
  • Design and implement LLM-powered applications utilizing Azure OpenAI.
  • Develop and optimize Retrieval-Augmented Generation (RAG) systems.
  • Create agent-based and tool-using AI architectures.
  • Engineer NLP pipelines for classification, summarization, and information extraction tasks.
  • Build secure, containerized APIs using FastAPI and Docker.
  • Deploy applications to Azure, including AKS or Azure Container Apps.
  • Establish CI/CD pipelines within Azure DevOps.
  • Enhance latency, observability, and optimize token costs.
  • Mentor fellow developers and contribute to architectural standards.
RequirementsRequired Experience
  • At least 8 years of software development experience.
  • Minimum of 3 years building AI/ML systems.
  • Proficient in Python development.
  • Hands-on experience with Azure OpenAI.
  • Experience constructing RAG architectures.
  • Integration of vector databases such as Azure AI Search or FAISS.
  • Deploying containerized applications on Azure platforms.
  • Building production APIs, preferably using FastAPI.
Preferred Qualifications
  • Experience with Semantic Kernel or LangChain.
  • Background in designing agent-based AI systems.
Ideal Candidate Profile
  • Has successfully transitioned AI solutions from proof-of-concept to production environments.
  • Understands the limitations of LLMs and effective mitigation strategies.
  • Approaches system architecture with scalability in mind, beyond prompt engineering.
  • Capable of working independently and providing technical leadership.
About Zvolvant

Zvolvant specializes in developing secure, enterprise-ready AI systems that accelerate decision-making and deliver tangible mission impact. The company focuses on Azure-based AI solutions tailored for federal clients.