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

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AI/ML Solution Engineer

Richmond, VA · On-site

As an AI/ML Engineer, you will play a key role in designing, building, and deploying AI-powered and ... Java, JavaScript, SQL/NoSQL, and data processing tools (NumPy, Pandas, PySpark). Understanding of C ...

McKesson

Software Developer

Richmond, VA · On-site

$103K - $172K/yr

Collaborate with AI/ML teams to embed intelligent features into applications, including predictive ... Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. * Hands-on ...

McKesson Corporation

Software Developer

Richmond, VA · On-site

$103/hr

Collaborate with AI/ML teams to embed intelligent features into applications, including predictive ... Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. * Hands-on ...

McKesson

Software Developer

Richmond, VA · On-site

$103K - $172K/yr

Collaborate with AI/ML teams to embed intelligent features into applications, including predictive ... Strong proficiency in programming languages such as Java, JavaScript, Python, or Go. * Hands-on ...

Capital One

Lead Software Engineer, DevOps

Richmond, VA · On-site

$52.25 - $71.50/hr

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

Capital One

Lead Software Engineer, DevOps

Richmond, VA · On-site

$52.25 - $71.50/hr

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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Java Ai Developer information

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$56

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How much do java ai developer jobs pay per hour?

As of Aug 19, 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 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.

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

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.

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Java Ai Developer jobs near you
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.

AI/ML Solution Engineer

SS Career page

Richmond, VA • On-site

Full-time

Re-posted 27 days ago

Job description

Description:

As an AI/ML Engineer, you will play a key role in designing, building, and deploying AI-powered and machine learning solutions that help our clients solve complex problems and unlock new opportunities. You’ll collaborate with consultants, data engineers, and client stakeholders to bring advanced AI and ML capabilities into real-world applications — from prototypes and proof-of-concepts to enterprise-scale systems. Beyond technical execution, this role is about enabling client success, simplifying complexity, and helping teams work smarter with AI. Here's what you'll do:


Prioritize Client Success

  • Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions.
  • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML).
  • Deliver applications that are reliable, intuitive, and built for long-term value.

Get Comfortable Being Uncomfortable

  • Navigate emerging and rapidly changing AI/ML technologies and tools.
  • Adapt quickly, lead through change, and make confident decisions with limited information.
  • Push boundaries by recommending modern approaches and innovations in AI/ML.

Peel Back the Onion

  • Ask the right questions to uncover root causes and deliver solutions that solve the real problem.
  • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes.
  • Explore new capabilities in deep learning frameworks, MLOps practices, and cloud platforms.

Build to Last

  • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments.
  • Uphold security, data governance, and best practices in every deployment.
  • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement.
  • Coach and guide other team members to elevate technical delivery and AI/ML literacy.

Embrace Being Small & Mighty

  • Be scrappy, stay hungry. Move fast, experiment, and adapt.
  • Roll up your sleeves and get your hands dirty with coding, data processing, deployment, and optimization.
  • Push through challenges with grit and a growth mindset.

Help Others Be Great

  • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes.
  • Translate technical AI/ML concepts into clear insights for non-technical stakeholders.
  • Communicate complex data, models, and outcomes in a way that’s clear and actionable.
Requirements:
  • Proficiency in Python (required); Java, JavaScript, SQL/NoSQL, and data processing tools (NumPy, Pandas, PySpark). Understanding of C++, R, Julia, Scala a plus.
  • Proven experience building and deploying LLM applications, developing agentic workflows, and applying advanced prompting and fine-tuning strategies.
  • Knowledge of ETL/ELT pipelines, familiarity with big data frameworks, data pipeline tools, SQL/NoSQL
  • Hands-on experience with model development, training, deployment, and maintenance. Experinece with Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, and modern architectures (CNNs, RNNs, Transformers).
  • Experience with CI/CD pipelines, experiment tracking, model monitoring, versioning, and building scalable ETL/data pipelines.
  • Experience with AWS, Azure, GCP cloud infrastructures. Containerization and Automation (Docker, Kubernetes, Jenkins, GitHub Actions).
  • Solid foundations in linear algebra, calculus, probability/statistics; familiarity with responsible AI practices, ethics, bias, and governance a plus.
  • Excellent communication skills to engage both technical and non-technical stakeholders, with a collaborative, problem-solving mindset.