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Remote Computer Science Artificial Intelligence Jobs in Lorton, VA

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Washington, DC · On-site +1

$77K - $176K/yr

... and artificial intelligence advances? In an increasingly connected world, massive amounts of ... Bachelor's degree in Statistics, Data Science, Computer Science, or Social Science and 3+ years of ...

Varsity Tutors

College Computer Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

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All JobsComputer Science Artificial Intelligence JobsRemote Computer Science Artificial Intelligence JobsRemote Computer Science Artificial Intelligence Jobs in Lorton, VA

Remote Computer Science Artificial Intelligence information

See Lorton, VA salary details

$84.4K

$103.6K

$137K

How much do remote computer science artificial intelligence jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote computer science artificial intelligence in Lorton, VA is $103,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $116,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Computer Science Artificial Intelligence vs Remote Data Science?

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

What are the key skills and qualifications needed to thrive as a remote computer science artificial intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

What is a remote computer science artificial intelligence professional?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

How do remote computer science artificial intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.

What job categories do people searching Remote Computer Science Artificial Intelligence jobs in Lorton, VA look for?

The top searched job categories for Remote Computer Science Artificial Intelligence jobs in Lorton, VA are:

What cities near Lorton, VA are hiring for Remote Computer Science Artificial Intelligence jobs?

Cities near Lorton, VA with the most Remote Computer Science Artificial Intelligence job openings:

Remote Computer Science Artificial Intelligence jobs near you
Infographic showing various Remote Computer Science Artificial Intelligence job openings in Lorton, VA as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% Remote job distribution, with an average salary of $103,646 per year, or $49.8 per hour.

Senior Data Scientist - Artificial Intelligence

Diverse Agile Solutions

Washington, DC • On-site, Remote

$75 - $80/hr

Full-time

Re-posted 3 days ago

Job description

Senior Data Scientist (Artificial Intelligence)Federal Reserve Board - Division of Consumer and Community Affairs (DCCA)

Company: Diverse Agile Solutions (DAS)

Location: Washington, DC (Hybrid Preferred) | Remote Considered

Job Type: Full-Time Consultant

Clearance/Work Authorization: U.S. Citizenship Required

About Diverse Agile Solutions

Diverse Agile Solutions (DAS) is a certified Minority Business Enterprise (MBE) specializing in delivering innovative technology solutions and highly skilled IT professionals to federal, state, and commercial organizations. Our expertise spans Artificial Intelligence, Cloud Engineering, Data Analytics, Agile Transformation, DevSecOps, Cybersecurity, Enterprise Architecture, and Digital Modernization.

At DAS, we help organizations solve complex business challenges through emerging technologies while fostering innovation, collaboration, and continuous learning.

Position Overview

Diverse Agile Solutions is seeking a Senior Data Scientist (Artificial Intelligence) to support the Federal Reserve Board's Division of Consumer and Community Affairs (DCCA) as part of its newly established AI Lab.

This is an exciting opportunity to help build next-generation Artificial Intelligence capabilities that improve consumer protection, regulatory oversight, community development, and operational efficiency through Generative AI and Machine Learning.

The ideal candidate is a full-stack AI practitioner capable of owning the complete AI lifecycle-from research and experimentation to application development, deployment, monitoring, and production support. You will work closely with economists, attorneys, analysts, and senior leadership to design intelligent solutions that deliver measurable business value.

What You'll DoArtificial Intelligence & Machine Learning Development
  • Research, design, and develop innovative AI and Machine Learning solutions supporting DCCA initiatives
  • Build proof-of-concept AI applications and transition successful prototypes into production
  • Develop Generative AI solutions using Large Language Models (LLMs)
  • Design Retrieval-Augmented Generation (RAG) architectures
  • Implement prompt engineering strategies for enterprise AI applications
  • Fine-tune and evaluate foundation models for domain-specific use cases
  • Develop NLP solutions including:
    • Text classification
    • Named Entity Recognition (NER)
    • Information extraction
    • Document summarization
    • Semantic search
  • Apply supervised, unsupervised, deep learning, and statistical modeling techniques
  • Evaluate emerging AI frameworks and technologies for enterprise adoption
Full-Stack AI Application Development
  • Build production-ready AI applications using:
    • Python
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Develop intuitive dashboards and visual analytics applications
  • Create interactive data visualizations using:
    • Plotly
    • Matplotlib
    • Seaborn
    • Tableau
    • Power BI
  • Translate complex analytical findings into actionable business insights
Deployment & MLOps
  • Deploy AI and ML applications into cloud environments
  • Containerize applications using Docker
  • Build CI/CD pipelines for AI deployments
  • Implement model monitoring and observability
  • Create automated retraining pipelines
  • Manage model versioning and lifecycle management
  • Optimize API integrations and AI inference costs
  • Troubleshoot and maintain production AI applications
  • Collaborate with Cloud Engineers and Infrastructure teams
Agile Collaboration
  • Participate in Agile ceremonies including:
    • Sprint Planning
    • Daily Standups
    • Sprint Reviews
    • Retrospectives
  • Partner with business stakeholders to identify AI opportunities
  • Translate business requirements into scalable AI solutions
  • Present findings to executive leadership and technical teams
  • Document code, methodologies, and technical decisions
  • Mentor team members and contribute to the growth of DCCA's AI practice
Governance & Responsible AI
  • Develop AI solutions aligned with federal security and governance standards
  • Support FISMA, Privacy Impact Assessments, and ATO documentation
  • Apply Responsible AI principles including:
    • Fairness
    • Bias detection
    • Explainability
    • Transparency
  • Collaborate with security and compliance teams throughout the AI lifecycle
Required Qualifications
  • U.S. Citizenship
  • Bachelor's degree in Computer Science, Data Science, Statistics, Machine Learning, or a related field
    • Master's degree preferred
  • Minimum 6 years of professional experience developing, deploying, and maintaining AI/ML applications
  • Expert proficiency with Python or R
  • Experience building production AI applications
  • Experience deploying Machine Learning solutions into cloud environments
  • Strong knowledge of:
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Generative AI
  • Experience with:
    • Scikit-learn
    • spaCy
    • XGBoost
  • Experience developing interactive applications using:
    • Streamlit
    • Dash
    • Flask
    • R Shiny
  • Experience creating dashboards and visualizations using:
    • Tableau
    • Power BI
    • Plotly
    • Matplotlib
    • Seaborn
  • Experience with containerization and CI/CD
  • Strong statistical modeling and analytical skills
  • Excellent written and verbal communication skills
  • Ability to independently deliver solutions from concept through production
Preferred Qualifications

Candidates with experience in one or more of the following are highly encouraged to apply:

  • Federal Government or Regulatory Agency experience
  • Financial Services or Banking
  • Consumer Finance
  • Banking Supervision
  • Agile methodologies (Scrum, Kanban)
  • Jira or Azure DevOps
  • Large Language Models (GPT, Llama, Nova)
  • LangChain
  • LlamaIndex
  • Prompt Engineering
  • Vector Databases
  • Semantic Search
  • AWS AI Services including:
    • Amazon Bedrock
    • SageMaker
    • Comprehend
    • Rekognition
    • Transcribe
  • AWS deployment services:
    • EC2
    • ECS
    • Lambda
    • S3
    • CloudWatch
  • Databricks
  • Infrastructure as Code:
    • Terraform
    • CloudFormation
  • MLOps
  • Model Monitoring
  • Automated Retraining
  • Responsible AI
  • AI Explainability
  • Multi-modal AI
  • AWS Certifications
  • Experience handling regulated or sensitive data
Technical Skills

Programming Languages

  • Python
  • R
  • SQL

AI / Machine Learning

  • Generative AI
  • Large Language Models (LLMs)
  • Machine Learning
  • Deep Learning
  • NLP
  • RAG
  • Prompt Engineering
  • Semantic Search
  • Fine-Tuning

Frameworks & Libraries

  • Scikit-learn
  • spaCy
  • XGBoost
  • LangChain
  • LlamaIndex
  • Streamlit
  • Dash
  • Flask
  • R Shiny

Cloud & DevOps

  • AWS
  • Docker
  • Kubernetes
  • CI/CD
  • Git
  • Terraform
  • CloudFormation

Visualization

  • Tableau
  • Power BI
  • Plotly
  • Matplotlib
  • Seaborn
  • ggplot2
Why Join Diverse Agile Solutions?

At DAS, you'll work alongside some of the industry's brightest technology professionals on innovative federal initiatives that leverage Artificial Intelligence to solve meaningful business challenges.

We offer:

  • Competitive compensation
  • Exciting federal technology programs
  • Opportunities to work with cutting-edge AI technologies
  • Collaborative and innovative culture
  • Professional development and certification support
  • Exposure to enterprise-scale cloud and AI platforms
  • Opportunity to help shape the future of AI in the federal government
Work Environment
  • Full-time consulting position
  • Hybrid work environment (Washington, DC)
  • Remote work may be considered
  • Agile, collaborative AI Lab
  • Fast-paced innovation environment focused on research and rapid prototyping
Equal Employment Opportunity

Diverse Agile Solutions is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable federal, state, or local law.

Apply Today

If you're passionate about Artificial Intelligence, Machine Learning, and building production-ready AI solutions that make a real impact, we'd love to hear from you.

Join Diverse Agile Solutions and help shape the future of AI innovation within the Federal Reserve Board.

Employment Type: FULL_TIME

Apply