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Artificial Intelligence Software Developer Jobs in Virginia

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Worky

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies. In this role, you ...

Jobtailor

AI Software Engineer - Entry-Level

Mclean, VA · On-site

Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives. * U.S. Citizenship ...

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All JobsArtificial Intelligence Software Developer JobsArtificial Intelligence Software Developer Jobs in Virginia

Artificial Intelligence Software Developer information

See Virginia salary details

$47.6K

$110.9K

$164.6K

How much do artificial intelligence software developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for artificial intelligence software developer in Virginia is $110,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $128,900.00 per year, depending on experience, location, and employer.

What is an artificial intelligence software developer?

An Artificial Intelligence (AI) Software Developer is a technology professional who designs, builds, and maintains software applications that utilize AI and machine learning techniques. They work with algorithms, data processing, and neural networks to create intelligent systems capable of tasks such as image recognition, language processing, and decision-making. These developers often collaborate with data scientists and engineers to integrate AI models into products and services, continually improving their accuracy and efficiency. Their work is fundamental in creating smarter applications across industries like healthcare, finance, and e-commerce.

What are the key skills and qualifications needed to thrive as an artificial intelligence software developer, and why are they important?

To thrive as an Artificial Intelligence Software Developer, you need strong programming skills (especially in Python, Java, or C++), a solid background in mathematics and statistics, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud computing platforms, and relevant certifications like Google Cloud Professional Machine Learning Engineer are highly beneficial. Critical thinking, creativity, and effective collaboration are standout soft skills for this role. These competencies enable the development of innovative AI solutions, efficient problem-solving, and successful teamwork on complex projects.

What are some common challenges faced by artificial intelligence software developers when transitioning machine learning models from development to production?

Artificial Intelligence Software Developers often encounter challenges when moving machine learning models from the development environment to production, such as ensuring scalability, managing data inconsistencies, and maintaining model performance over time. Integrating models into existing systems may require collaboration with DevOps and data engineering teams to address deployment pipelines, monitoring, and version control. It's also important to implement robust testing and continuous evaluation processes to catch data drift or performance degradation. Overcoming these challenges requires strong communication skills and an understanding of both AI algorithms and software engineering best practices.

What is the difference between Artificial Intelligence Software Developer vs Machine Learning Engineer?

AspectArtificial Intelligence Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; programming skillsBachelor's in CS, Data Science, or related; strong math and programming skills
Work EnvironmentSoftware development teams, AI projects, R&DData-focused teams, model development, deployment
Employer & Industry UsageTech companies, research labs, startupsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Artificial Intelligence Software Developers design and implement AI applications, focusing on integrating AI algorithms into software solutions. Machine Learning Engineers specialize in developing and deploying machine learning models, often working with large datasets. While both roles require programming skills and knowledge of AI concepts, AI Developers focus on broader AI system integration, whereas ML Engineers concentrate on model training and optimization.

What cities in Virginia are hiring for Artificial Intelligence Software Developer jobs?

Cities in Virginia with the most Artificial Intelligence Software Developer job openings:

Artificial Intelligence Software Developer jobs near you
Infographic showing various Artificial Intelligence Software Developer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $110,886 per year, or $53.3 per hour.

Aerospace/Aviation Artificial Intelligence Developer - Intern

Suffolk, VA • On-site

SimIS Inc
51 - 200 employees
Learn more about SimIS Incexternal

$17 - $22.25/hr

Other

Posted 20 days ago

Job description

Who We Are

Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success.

Our performance standard is "excellence," with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).

SimIS, Inc. is seeking Artificial Intelligence Developer Intern to:

  • Develop and train Artificial Intelligence (AI) tools to help automate processes for Aerospac e/Aviation Machine Language (ML) tool development. Duties include designing and programming AI systems, testing the ML tools and processes developed, working with autonomous systems, and resolving issues with algorithms and data to ensure the system works correctly.
  • Evaluate machine learning processes to enhance automation.
  • Collect and analyze large amounts of data to identify trends, ambiguities, and inconsistencies using data analytics.
  • Program knowledge and some experience with AI software utilizing large amounts of data. Managing the data, project infrastructure, and supporting the development of the most effective and efficient AI software architecture.
  • Knowledge and some skill developing and deploying AI algorithms with an understanding of how artificial intelligence works.
  • Ability to build containerized application tools following the 12 Factor App methodology, Test Driven Development (TDD), Continuous Integration / Continuous Deployment (CI/CD) concepts, and Extreme Programming (XP).
  • Collaborating with other team members to establish goals for AI processes. Develop products as part of a balanced Agile development team to include Product Manager, Product Owner, engineers, developers, cyber specialist, and scientists and drive technical feasibility for the product backlog.
  • Experience and knowledge with various AI tools such as Tabnine, GitHub Copilot, CHATGBT, Google Bard, Perplexity AI, Claude, Cursor AI, Softr, Microsoft Power Apps, Codeium, Amazon CodeWhisperer, Quickbase, Airtable Cobuilder, Databutton, AutoNav, ExoMiner, MLNav, ASPEN, MAPGEN, Prithvi and Tensorflow are desired.
  • Staying up to date on the latest AI developments with an understanding of data science.
  • Experience and/or knowledge in full-stack JavaScript/Python/Java/C/C++/C# development, front-end development (e.g., React, Angular, HTML, HTML5, JS, CSS, SASS, etc…), back-end development (e.g., Node.js, Django/Flask, SpringBoot, etc…), and database design and programming (mySQL, PostgreSQL, MongoDB, etc…).
  • Aptitude for math, statistics, and NASA’s core mission areas - aeronautics, exploration systems, science, space operations, and space technology, strong analytical and problem-solving skills, and proficiency in coding languages and software programming.
  • Robust teamwork, communication and collaboration skills with ambitious self-motivation attitude and honed attention to detail and concentration competence.
  • Able to support the management of third-party cloud computing platforms, including architectural design, access controls, cost-effective usage monitoring; cloud security (e.g., hardening, authentication, authorization).
  • Able to use distributed learning specifications (e.g., SCORM, xAPI, Dublin Core) and familiarity with virtualization software and virtualized server implementations.
  • Able to collaboratively develop and maintain software (e.g., via GitHub), develop software technical documentation and user guides, find, and fix software bugs, and have familiarity with standard web security (e.g., SSL certificates, OAuth).
  • Able to pick up and learn new languages and frameworks.
  • Adopts industry best practices, with a security first mindset and understands DevSecOps principles.
  • Fluent in English and skills in written and oral communication.
  • Candidate must be working towards a Bachelor of Science degree in a related field, such as computer science, engineering, mathematics, statistics or data science.Experience as an AI Developer/Engineer is highly desired.
  • This is an on-site position which will require duty on-site in Suffolk, VA with an expected 14 – 16 hour/week work schedule. This position may have some latitude to authorize work from home dependent on project assigned.

SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

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