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Remote Ai Developer Jobs in Virginia (NOW HIRING)

Job ID: 2616563 Location: Chantilly, VA, US Date Posted: 2026-09-04 Category: Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of

Job ID: 2616563-OTHLOC-100000685975237 Location: Arlington, VA, US Date Posted: 2026-09-04 Category: Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-Time Shift: Day Job

Senior AI Engineer, Security Infrastructure

Arlington, VA · On-site +1

$124K - $169K/yr

Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists

Senior AI Engineer, Security Infrastructure

Arlington, VA · On-site +1

$124K - $169K/yr

Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

What do you get when you bring together a team of bright individuals and place them into an environment where "work" means making a difference in the lives of people across the globe? You get Sciolex

Showing results 41-60

Remote Ai Developer information

See Virginia salary details

$39.7K

$128.2K

$157.1K

How much do remote ai developer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote ai developer in Virginia is $128,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $155,700.00 per year, depending on experience, location, and employer.

What is a remote AI developer?

Remote AI Developers are software professionals who design, build, and implement artificial intelligence solutions while working from locations outside of a traditional office, such as their home or a co-working space. They collaborate with teams virtually to develop machine learning models, automate processes, and create intelligent applications. Their responsibilities often include data analysis, training algorithms, and deploying AI models, all conducted using remote communication and project management tools. This role requires strong programming skills, knowledge of AI frameworks, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote AI developer?

To thrive as a Remote AI Developer, you need strong programming skills (especially in Python), deep knowledge of machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set outstanding candidates apart. These competencies ensure you can build robust AI solutions independently, collaborate seamlessly with distributed teams, and adapt to rapid technological advancements.

What are some common challenges remote AI developers face when collaborating with distributed teams, and how can they address them?

Remote AI Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication, and maintaining alignment on project goals. To address these issues, it's important to establish regular check-ins, use collaborative tools for code sharing (like GitHub) and documentation (such as Confluence), and actively participate in virtual meetings. Staying proactive about communication and documentation helps ensure smooth collaboration and keeps everyone on the same page, regardless of location.

What is the difference between Remote Ai Developer vs Data Scientist?

AspectRemote Ai DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, startups, remote teams focused on AI projectsResearch firms, tech companies, analytics teams, often remote or on-site
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Remote AI Developers focus on building and implementing AI models and algorithms, often working on software development projects. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require programming skills and knowledge of machine learning, AI Developers are more involved in creating AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Ai Developer jobs in Virginia?

The most popular types of Ai Developer jobs in Virginia are:

What are popular job titles related to Remote Ai Developer jobs in Virginia?

For Remote Ai Developer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Ai Developer jobs in Virginia look for?

The top searched job categories for Remote Ai Developer jobs in Virginia are:

What cities in Virginia are hiring for Remote Ai Developer jobs?

Cities in Virginia with the most Remote Ai Developer job openings:

Infographic showing various Remote Ai Developer job openings in Virginia as of September 2026, with employment types broken down into 7% Internship, 74% Full Time, 12% Part Time, and 7% Contract. Highlights an 22% In-person, and 78% Remote job distribution, with an average salary of $128,239 per year, or $61.7 per hour.

IT Manager - AI Platform Engineering & Data Science

Springfield, VA • On-site, Remote

Ferguson Enterprises, LLC
Wholesale • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Key responsibilities

  • Lead, coach, and develop a team of platform engineers, architects, and technical specialists.

  • Design, build, and optimize scalable, secure, and reliable platform capabilities across GCP and hybrid-cloud environments.

  • Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.


Ferguson Waterworks rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
IT Manager, AI Platform Engineering & Data Science
The Manager, Platform Engineering & Data Science is a key technology leader within Ferguson's AI Technology and Innovation organization, responsible for building and evolving the platforms, engineering standards, and cloud capabilities that enable scalable AI, machine learning, and software delivery across the enterprise. This role leads a team of platform engineers, architects, and technical specialists who provide the foundational capabilities that power AI innovation, modern application development, and data science initiatives. Working across a hybrid-cloud environment, with Google Cloud Platform (GCP) as the primary hyperscaler and Azure supporting hybrid workloads and legacy integrations, this leader will drive platform strategy, cloud architecture, developer experience, DevSecOps maturity, and MLOps capabilities that accelerate the delivery of secure, reliable, and scalable solutions.
Reporting to the Director, AI Technology and Innovation, the Manager, Platform Engineering & Data Science will collaborate closely with experts in AI Engineering, Data Science, Product, Architecture, and IT to modernize technology platforms, improve engineering efficiency, and enable teams to move rapidly from experimentation to production while delivering measurable business value.
Location: This role is approved to be remote within the United States; however, candidates must reside in the Eastern or Central time zones to support collaboration with team members based in Newport News, VA, and our Global Capability Center (GCC) team in India. Associates located near Newport News may work in a hybrid arrangement in accordance with company policy. Occasional travel to Ferguson headquarters in Newport News, VA, and other company locations, including Tampa, FL, is expected.
Duties and Responsibilities:
  • Lead, coach, and develop a high-performing team of platform engineers, architects, and technical specialists.
  • Define and execute the platform engineering, cloud, and data science roadmap in support of Ferguson's AI and technology strategy.
  • Design, build, and optimize scalable, secure, and reliable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.
  • Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.
  • Drive DevSecOps, CI/CD, infrastructure automation, and platform reliability standards to improve delivery speed, quality, and operational efficiency.
  • Own and enhance MLOps and data science platform capabilities, supporting model development, training, deployment, and monitoring at scale.
  • Establish engineering standards, architecture patterns, API strategies, and reusable platform services that accelerate software delivery.
  • Lead platform modernization initiatives, including cloud adoption, developer experience improvements, automation, and legacy technology retirement.
  • Manage project delivery, budgets, vendor relationships, and team capacity to ensure successful execution of critical initiatives.
  • Supervise platform performance, security, availability, and scalability while proactively identifying and mitigating risks.
  • Build strong partnerships with business and technology leaders to align platform investments with organizational priorities.
  • Stay ahead of emerging cloud, AI, data, and engineering technologies to drive innovation and continuous improvement.

Qualifications and Requirements:
  • Bachelor's degree in information technology, computer science or related field preferred, or equivalent experience.
  • Must have at least 5 years of hands-on experience in platform engineering. Experience in machine learning implementation and data analytics enablement is required. You should have broad knowledge of how platform capabilities support integration and innovation across different business domains.
  • Must have prior experience directly leading engineering or technical talent, including performance management and career development for direct reports; experience with offshore/onsite consultants preferred.
  • Must have direct experience in software programming with Java and/or Python, along with Software Architecture and Engineering expertise.
  • Must have experience in secure software delivery (DevSecOps) and continuous integration/continuous deployment (CI/CD), and pipeline development.
  • Must have hands-on experience architecting and operating platform services on Google Cloud Platform (GCP) as the primary hyperscaler, with working knowledge of Azure to support hybrid-cloud workloads and legacy system integration.
  • Experience enabling data science and ML workflows using cloud-native tooling (e.g., Vertex AI, BigQuery, or equivalent feature-store, pipeline-orchestration, and model-serving constructs) strongly preferred.
  • Must have experience creating operational dashboards, telemetry configurations and alerting templates for end-to-end flow of data services using APM and Data Logging solutions such as AppDynamics, DataDog etc.
  • Solid understanding and experience implementing software design patterns and modern standards.
  • Must be a hands-on software engineer able to work alongside a cross-functional team of software engineers, software architects, data scientists, and software quality engineers as needed.
  • Demonstrates high aptitude, initiative, and self-drive - proactively finds opportunities to improve the platform and data science tooling rather than waiting for direction, and leads technical work hands-on rather than purely delegating.
  • Strong leadership and interpersonal relationship building skills.
  • Strong written communication skills with the ability to deliver compelling presentations.

At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
#LI-REMOTE
Pay Range:
Actual pay rate may vary depending upon location. The estimated pay range for this position is below. The specific rate will depend on a candidate's qualifications and prior experience.
$7,568.91 - $13,247.76
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information

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