ZipRecruiter

Log In

1

Ai Application Developer Jobs in Virginia (NOW HIRING)

Centuria

Application Developer

Norfolk, VA · On-site

Application Developer (.NET) Location: USFF Norfolk, Virginia at a Government facility/site ... AI or similar AI technologies. • Proficiency and in-depth experience in the installation ...

Centuria

Application Developer

Norfolk, VA · On-site

Application Developer (.NET) Location: USFF Norfolk, Virginia at a Government facility/site ... Knowledge and experience on Open AI or similar AI technologies. * Proficiency and in-depth ...

Centuria

Application Developer

Norfolk, VA · On-site

$100 - $125/hr

Application Developer (.NET) Location: USFF Norfolk, Virginia at a Government facility/site ... Knowledge and experience on Open AI or similar AI technologies. * Proficiency and in-depth ...

Revolutional, LLC

Lead Application Developer

Mclean, VA · On-site

$130/hr

We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve ... Lead Application Developer Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work ...

Revolutional, LLC

Lead Application Developer

Mclean, VA · On-site

$130/hr

We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve ... Lead Application Developer Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work ...

BLN24

Senior Application Developer

Mclean, VA · On-site

$97K - $133K/yr

Job Title:  Senior Application Developer (NOAA/AWIPS) Company: BLN24 About Us: We find strength ... Utilize AI-assisted development tools to improve productivity, software quality, and testing ...

previous pagenext page

Showing results 21-40

All JobsAi Application Developer JobsAi Application Developer Jobs in Virginia

Ai Application Developer information

See Virginia salary details

$16

$52

$84

How much do ai application developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai application developer in Virginia is $52.19, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $60.05 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

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

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

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

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

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

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

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

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

Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $108,551 per year, or $52.2 per hour.

Application Developer- Java

Herndon, VA • On-site

Point Solutions Group
51 - 200 employees
Learn more about Point Solutions Groupexternal

Full-time

Re-posted 23 days ago

Job description

We are seeking an Application Developer to support a mission-critical GEOINT enterprise application responsible for managing and processing geospatial intelligence requirements across the federal government. This role will support the sustainment, modernization, and enhancement of a complex software environment operating within a DevSecOps and Agile framework.

Position Overview

As an Application Developer, you will be a member of an Agile Scrum team responsible for developing, maintaining, and enhancing enterprise-level software solutions that support critical intelligence operations. The ideal candidate will have experience with Java development, software engineering best practices, and modern DevSecOps technologies in a fast-paced mission environment.

Responsibilities
  • Participate in Agile software development activities including sprint planning, backlog refinement, daily standups, reviews, and retrospectives.
  • Design, develop, test, debug, document, and maintain software solutions supporting mission-critical applications.
  • Develop, modify, and troubleshoot Java-based applications and services.
  • Analyze system requirements and translate mission needs into technical solutions.
  • Troubleshoot software defects and resolve complex technical issues across multiple environments.
  • Support application deployments, integrations, and system enhancements.
  • Apply established software engineering standards, processes, procedures, and tools throughout the development lifecycle.
  • Collaborate with developers, system administrators, architects, cybersecurity personnel, and stakeholders to ensure operational stability and mission success.
  • Develop and maintain technical documentation.
  • Support continuous integration, automated testing, and DevSecOps initiatives.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
  • Experience developing, modifying, and troubleshooting Java applications.
  • Experience working in Linux and Windows operating environments.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to learn and implement new technologies in a dynamic environment.
  • Experience working in Agile software development environments.
  • Active TS/SCI security clearance.
  • U.S. Citizenship required.
Preferred Qualifications
  • Experience supporting large-scale software development programs.
  • Experience with DevSecOps tools and technologies including:
    • Docker
    • Kubernetes
    • Jenkins
    • Git
    • Jira
    • Chef
    • Kafka/Zookeeper
    • Consul
    • CMDB
  • Experience with Commercial Off-The-Shelf (COTS) and Open-Source Software (FOSS) integration and support.
  • Experience with Scaled Agile Framework (SAFe) methodologies and tools.
  • Familiarity with cloud-based infrastructure and cloud-native development.
  • Experience with Angular, SQL, Oracle, automated testing, and GitOps pipelines.
  • Experience with database development, including:
    • Oracle
    • PostgreSQL
    • MongoDB
    • MySQL
    • SQL/PL-SQL
  • Experience with Python development.
  • Knowledge of big data technologies, analytics platforms, and data ingestion pipelines.
  • Exposure to AI/Machine Learning technologies and applications.
  • Strong verbal and written communication skills.
  • Proven ability to work effectively in a collaborative team environment

Apply