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Java Ai Developer Jobs in Richmond, VA (NOW HIRING)

Senior AppSec Engineer ID71672

Richmond, VA · On-site

$57.50 - $76.75/hr

SAST/DAST/SCA and Java expertise are a plus. WHAT YOU WILL DO - Engineer and deploy AI-enabled secure code scanning capabilities and "Golden Images" to drive secure-from-the-start adoption ...

Full Stack Developer

Richmond, VA · On-site

$105K - $117K/yr

You'll have the opportunity to leverage generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude ... What You Bring * Experience with Angular (v17 and above) and Java required. * Bootcamp ...

New

Strong experience with Java, including Spring, Spring Boot, Spring JPA, Docker, REST, SOAP, and ... Proficiency leveraging AI coding assistants (e.g., GitHub Copilot, Claude Code) and Large Language ...

Senior Software Developer

Richmond, VA · On-site

$120K - $150K/yr

Strong experience with Java, including Spring, Spring Boot, Spring JPA, Docker, REST, SOAP, and ... Proficiency leveraging AI coding assistants (e.g., GitHub Copilot, Claude Code) and Large Language ...

At Capital One, you will help bring the transformative power of emerging AI capabilities to ... Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go ...

Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services ... Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities ...

Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services ... Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities ...

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How much do java ai developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for java ai developer in Richmond, VA is $56.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $62.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
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Infographic showing various Java Ai Developer job openings in Richmond, VA as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $116,708 per year, or $56.1 per hour.
Senior AppSec Engineer ID71672

Senior AppSec Engineer ID71672

AgileEngine

Richmond, VA • On-site

$57.50 - $76.75/hr

Full-time

Posted 12 days ago


Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Application Security Engineer to architect and build automated security layers within the SDLC, engineering AI-enabled secure code scanning, hardened baseline automation, and CI/CD security tooling integration within a large-scale financial services program. You will work primarily in Python to build automated security runbooks, deploy and tune scanning tools, and provide code-level remediation guidance to development teams - operating with full autonomy and no daily supervision. AppSec and DevSecOps experience is strongly preferred; SAST/DAST/SCA and Java expertise are a plus.
WHAT YOU WILL DO
- Engineer and deploy AI-enabled secure code scanning capabilities and "Golden Images" to drive secure-from-the-start adoption;
- Automate the development of secure coding patterns and integrate them with traditional and Agentic SDLC workflows;
- Architect the integration of continuous security scanning tools (SAST, DAST, SCA) into enterprise CI/CD pipelines, tuning them to eliminate noise;
- Act as a senior technical SME, reading and reviewing complex application code (Java/Python) to provide software engineers with highly specific, code-level remediation guidance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 5+ years of software engineering experience, ideally with a focus on Application Security and DevSecOps;
- Strong coding and architectural proficiency in Python for security automation and scripting;
- Fully autonomous execution capability, requiring no daily supervision to map out and build automated security runbooks;
- Upper-intermediate English level.
NICE TO HAVES
- Deep, hands-on expertise deploying and tuning modern application security testing tools, including SAST, DAST, and SCA, and integrating them into complex CI/CD orchestration ecosystems;
- Experience integrating LLMs, AI agents, or automated coding assistants to streamline vulnerability triaging or secure code generation;
- Advanced application threat modeling experience;
- Ability to confidently read, review, and secure enterprise source Java code.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.