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Remote Generative Ai Engineer Jobs in Silver Spring, MD

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 ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

Red Cedar Consultancy

AI Engineer

Mclean, VA · Remote

Remote Summary: Red Cedar is seeking AI resources to review business processes and identify ... Strong understanding of generative AI, LLM integration, and modern AI frameworks * Ability to ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

... Generative AI technologies to help drive innovation across federal environments. Your focus will ... This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · 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 ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

$63.25 - $84.50/hr

... Generative AI technologies to help drive innovation across federal environments. Your focus will ... This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · 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 ...

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

Generative AI and internal business applications * Intelligent search, retrieval, and summarization ... Remote * Must be a U.S. citizen and physically located in the United States * Small, collaborative ...

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All JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Silver Spring, MD

Remote Generative Ai Engineer information

See Silver Spring, MD salary details

$39.3K

$119.8K

$198K

How much do remote generative ai engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for remote generative ai engineer in Silver Spring, MD is $119,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $156,600.00 per year, depending on experience, location, and employer.

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

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

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

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do Remote Generative AI Engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a Remote Generative AI Engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What job categories do people searching Remote Generative Ai Engineer jobs in Silver Spring, MD look for? The top searched job categories for Remote Generative Ai Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Generative Ai Engineer jobs? Cities near Silver Spring, MD with the most Remote Generative Ai Engineer job openings:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Silver Spring, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $119,778 per year, or $57.6 per hour.

Senior Generative AI Engineer

OpenDataJobs

Washington, DC • On-site, Remote

$62.50 - $80.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 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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