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

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

Steampunk

AI Developer

Mclean, VA · On-site

$145K - $185K/yr

We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role will ...

Steampunk

AI Developer

Mclean, VA · On-site

$145K - $185K/yr

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

Steampunk

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

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

Steampunk

AI Developer

Mclean, VA · On-site

$145K - $185K/yr

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

Steampunk

AI Developer / Product SME

Mclean, VA · On-site

$145K - $185K/yr

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 portfolio. This ...

Steampunk

AI Developer / Product SME

Mclean, VA

$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 ...

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Generative Ai Developer information

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$19

$46

$103

How much do generative ai developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for generative ai developer in Ashburn, VA is $46.31, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $56.06 per hour, depending on experience, location, and employer.

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.

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 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 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 are popular job titles related to Generative Ai Developer jobs in Ashburn, VA? For Generative Ai Developer jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Ashburn, VA look for? The top searched job categories for Generative Ai Developer jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Generative Ai Developer jobs? Cities near Ashburn, VA with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Ashburn, VA as of May 2026, with employment types broken down into 44% Full Time, 49% Part Time, and 7% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $96,329 per year, or $46.3 per hour.

Senior Generative AI Engineer

OpenDataJobs

Potomac, MD • On-site, Remote

$57.25 - $73.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains.
The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables.
Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative.
Responsibilities
Client Delivery:
  • Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows
  • Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement
  • Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions
  • Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding
  • Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed

Firm Development:
  • Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen the firm's AI capabilities and market position

Requirements
Core Technologies:
  • AWS Certification required: Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level certification
  • Hands-on proficiency with AWS tools such as Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito and related AWS services
  • Python fluency including LangChain and AWS Strands; experience with vector databases and embedding workflows
  • Experience with Model Context Protocol (MCP) to connect LLMs to external tools, APIs, and data sources; ability to design and implement MCP servers and clients in production architectures
  • Advanced SQL, cloud-native data pipeline management, and ETL workflows

Domain Expertise & Professional Skills:
  • Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles. Knowledge includes explainability, auditability, and governance in regulated environments
  • Experience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control, CI/CD, pipeline deployments, system and model monitoring, and drift detection
  • Domain knowledge of federal data environments, government IT modernization, or public sector AI adoption
  • Excellent written and oral communication skills; proven collaborator in professional or academic settings

Professional Experience:
  • Bachelor's required, advanced degree preferred; Computer Science, Data Science, AI, Applied Mathematics, Statistics, or related quantitative field strongly preferred
  • 8+ years in software development, ML engineering, or data science; background in computer science or related technical and/or quantitative fields
  • Multi-modal AI experience (vision, document understanding, structured extraction)
  • Prior consulting, or client-services experience strongly preferred
  • Open-source contributions or published GenAI research preferred
  • Familiarity with OMB AI guidance and the NIST AI Risk Management Framework preferred
  • U.S. citizenship; ability to obtain a Public Trust suitability determination required

Benefits
Our client offers a comprehensive and competitive benefits package, including:
  • Full health coverage (medical, dental, and vision) with 100% of employee premiums covered
  • Life and disability insurance, fully covered by the company
  • 401(k) retirement plan with 100% match on contributions up to 4% of salary with immediate vesting
  • Unlimited Paid Time Off (PTO) to encourage work-life balance
  • Remote location but greater Washington, DC area preferred for hybrid engagement
  • Sponsored AWS certification training

Our client is an equal opportunity employer.

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