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Artificial Intelligence Software Developer Jobs in Ohio

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... software development. * Participate in code reviews, provide constructive feedback and continuously seek opportunities for codebase improvement. * Collaborate with the DevOps team to automate build ...

Booz Allen Hamilton

Software Developer

Dayton, OH · On-site

$86K - $198K/yr

Software Developer The Opportunity: As a software sustainment engineer, you play a pivotal role in ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Prescient Edge

Software Developer

Dayton, OH · On-site

Job Title Software Developer Location Wright-Patterson, OH 45433 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel None Security Clearance ...

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All JobsArtificial Intelligence Software Developer JobsArtificial Intelligence Software Developer Jobs in Ohio

Artificial Intelligence Software Developer information

See Ohio salary details

$45.6K

$106.3K

$157.8K

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

As of Sep 10, 2026, the average yearly pay for artificial intelligence software developer in Ohio is $106,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $123,600.00 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.

Artificial Intelligence Software Developer jobs near you
Infographic showing various Artificial Intelligence Software Developer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,331 per year, or $51.1 per hour.

Artificial Intelligence Engineer

Cleveland, OH • On-site

SCATR Corp.
See more jobs at SCATR Corp.external

$111K - $133K/yr

Full-time

Re-posted 25 days ago

Job description

Company Overview:

SCATR – THE DATA CAMOUFLAGE COMPANY™

Born from warfighter requirements and inspired by the animal kingdom’s natural defense mechanisms, we developed patented, quantum-resistant Data Camouflage™ technology for data in motion—safeguarding enterprises and the individuals who depend on them.

The STUN™ security platform empowers organizations to proactively secure data in motion across untrusted networks, providing data obfuscation, resiliency, and quantum-proof security. Our patented, quantum-resistant Data Camouflage™ technology allows enterprises to secure their data in motion across the world’s most hostile environments, addressing a critical gap in Zero Trust security architectures that often focus on protecting data at rest (ZTN) and data in use (ZTNA).

We integrate with global providers like Amazon Web Services, Microsoft Azure, Google Cloud and Equinix to enhance our placement and access, offering true edge to enterprise solutions.

SCATR is Zero Trust Transit™ security for data in motion.

Job Overview:

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and contribute to the development of a robust AI-enabled solution. As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining high-performance AI and machine learning models and algorithms, ensuring its compatibility and optimization across diverse software deployments. This role involves working closely with software engineers and other stakeholders to build intelligent systems that enhance our business operations and product offerings.  The ideal candidate will have a strong background in AI, machine learning and data science, with experience in deploying AI solutions in a production environment.

Responsibilities:

  • Design, develop and maintain AI and ML Models and algorithms using the latest technologies and best practices. 
  • Collaborate with cross-functional teams, including product management and UI/UX design, to gather requirements and ensure the successful implementation of AI-driven features.
  • Optimize and fine-tune models for performance, accuracy and scalability.
  • Deploy AI models, processes, and systems for knowledge sharing and reproducibility.
  • Translate business requirements into technical designs and code implementations, ensuring the delivery of high-quality software solutions.
  • Write efficient and maintainable code that meets the project's functional and performance requirements.
  • Conduct thorough testing and debugging of applications to ensure software quality and reliability.
  • Work closely with Quality Assurance teams to identify and fix software defects and inconsistencies.
  • Stay updated with the latest industry trends, technologies and best practices for AI-enabled software development.
  • Participate in code reviews, provide constructive feedback and continuously seek opportunities for codebase improvement.
  • Collaborate with the DevOps team to automate build, deployment and testing processes.
  • Assist in providing timely resolution of customer-reported issues.

Why SCATR?

  • Innovative Technology: Work with cutting-edge technologies that are transforming data security.
  • Collaboration & Growth: Join a dynamic team where your contributions directly impact global organizations' ability to secure their data in motion.
  • Competitive Benefits: We offer a comprehensive benefits package, flexible working hours and the opportunity to work on impactful projects.

Preferred Requirements:

  • Bachelor’s or Master’s degree in computer science, Data Science, Artificial Intelligence, or a related field
  • Proven experience as an AI engineer, machine learning engineer, or similar role
  • Strong understanding of machine learning algorithms, neural networks, and deep learning
  • Proficiency in programming languages such as Python, R, C++, or Java
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Caffe, Keras, or similar
  • Knowledge of data preprocessing techniques and tools.
  • Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying AI models
  • Networking fundamentals (e.g. common protocols, network structures, etc.)
  • Experience with source control tools (e.g., Git) and project management systems.
  • Familiarity with Agile software development practices and the ability to work in a collaborative team environment.
  • Excellent problem-solving and analytical skills, with a keen eye for detail.
  • Strong communication and teamwork skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
  • Ability to work in a fast-paced, dynamic environment and quickly adapt to changing priorities and project needs.

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