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Intelligent Systems Engineering Jobs in Ohio (NOW HIRING)

Reveleer

Infrastructure Engineer

New Albany, OH · On-site

$130K - $175K/yr

... intelligent workflow automation into one governed system designed to support traceable ... Partner with engineering and product teams to ensure AI infrastructure integrations meet security ...

reveleer

Infrastructure Engineer

New Albany, OH · On-site

$130K - $175K/yr

... intelligent workflow automation into one governed system designed to support traceable ... Qualifications and experience Required: • Five or more years of experience in systems engineering ...

BrightEdge

Senior Backend AI Engineer

Cleveland, OH · On-site

We're looking for a Senior Backend Engineer to architect "intelligent" systems that don't just move data, but understand it. You will build self-healing pipelines and agentic workflows that allow our ...

BrightEdge

Senior Backend AI Engineer

Cleveland, OH

We're looking for a Senior Backend Engineer to architect "intelligent" systems that don't just move data, but understand it. You will build self-healing pipelines and agentic workflows that allow our ...

BrightEdge

Senior Backend AI Engineer

Cleveland, OH · On-site

We're looking for a Senior Backend Engineer to architect "intelligent" systems that don't just move data, but understand it. You will build self-healing pipelines and agentic workflows that allow our ...

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All JobsIntelligent Systems Engineering JobsIntelligent Systems Engineering Jobs in Ohio

Intelligent Systems Engineering information

See Ohio salary details

$57.5K

$135.1K

$186.3K

How much do intelligent systems engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for intelligent systems engineering in Ohio is $135,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $164,500.00 per year, depending on experience, location, and employer.

What is intelligent systems engineering?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

What are the main challenges faced when working as an intelligent systems engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

What are the key skills and qualifications needed to thrive in intelligent systems engineering, and why are they important?

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

How much do intelligent systems engineers make?

Intelligent systems engineers typically earn a median annual salary of around $100,000 to $130,000, depending on experience, education, and location. Professionals with advanced skills in machine learning, robotics, or AI tools may earn higher salaries, especially in specialized or high-demand industries.

What do intelligent systems engineers do?

Intelligent systems engineers design, develop, and implement software and hardware systems that incorporate artificial intelligence, machine learning, and automation technologies. They analyze complex problems, create algorithms, and work with tools like robotics, data analysis, and programming languages such as Python or C++. Their work often involves testing, optimization, and ensuring systems operate reliably in real-world environments.

What are popular job titles related to Intelligent Systems Engineering jobs in Ohio?

For Intelligent Systems Engineering jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Intelligent Systems Engineering jobs in Ohio look for?

The top searched job categories for Intelligent Systems Engineering jobs in Ohio are:

Intelligent Systems Engineering jobs near you
Infographic showing various Intelligent Systems Engineering job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $135,065 per year, or $64.9 per hour.

Intelligent Systems Engineer II

ClarkDietrich

West Chester, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

ClarkDietrich rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Do you have a strong work ethic and the desire to join an organization that invests in its people through cross-training and development? ClarkDietrich fosters a work-life balance and offers competitive compensation and benefits. Join the ClarkDietrich team by applying to the Intelligent Systems Engineer II position.
Position Summary
The Intelligent Systems Engineer II will support the design, development, testing, and implementation of intelligent software systems that combine artificial intelligence, machine learning, data engineering, automation, cloud services, and modern software development practices.
This role is a hands-on technical engineering position. The Intelligent Systems Engineer II will work under the direction of the Technical Manager and will be responsible for solving assigned technical problems, contributing to system design and implementation, building reliable components, and supporting the development of scalable intelligent applications.
This position is not expected to independently define business problems, own business-facing strategy, or directly lead stakeholder discovery. Instead, the role will translate technical direction, requirements, and priorities provided by the Technical Manager into practical engineering solutions.
Role Scope and Expectations
  • Work primarily as a technical contributor under the direction of the Technical Manager.
  • Solve assigned technical problems at the system, software, data, AI, and integration levels.
  • Support implementation, testing, documentation, and production-readiness of intelligent systems.
  • Escalate risks, blockers, tradeoffs, and unclear requirements to the Technical Manager in a timely manner.
  • Participate in technical discussions and provide input, while business-facing prioritization and solution direction remain coordinated through the Technical Manager or designated leadership.

Key Responsibilities
Intelligent Systems Development
  • Design, develop, test, and maintain components of AI-enabled software systems and automation workflows.
  • Build technical solutions using machine learning models, large language models, data pipelines, APIs, databases, and cloud services.
  • Implement assigned features, services, integrations, and backend logic based on technical direction from the Technical Manager.
  • Support prototype development, technical validation, and transition of approved solutions into stable, production-ready implementations.
  • Research and evaluate technologies when assigned, and provide technical findings and recommendations to the Technical Manager.

Machine Learning and Applied AI
  • Support the development, testing, evaluation, and improvement of machine learning and AI-enabled solutions.
  • Assist with model training, validation, performance testing, accuracy measurement, and error analysis.
  • Prepare and process structured, semi-structured, and unstructured data for use in intelligent systems.
  • Help create evaluation methods to measure consistency, reliability, accuracy, and technical performance.
  • Work with the Technical Manager to ensure AI outputs are reviewed, explainable where needed, and aligned with approved technical standards.

Data Engineering and System Integration
  • Build and maintain data pipelines for collecting, cleaning, transforming, and organizing technical and operational data.
  • Develop backend services, APIs, and integration components that connect intelligent systems with internal applications.
  • Support data quality, traceability, security, and maintainability across assigned technical work.
  • Work with databases, file storage, cloud services, and application interfaces as needed.
  • Document data flows, integration logic, assumptions, and technical limitations.

Cloud and Software Engineering
  • Develop cloud-supported applications and services using modern software engineering practices.
  • Participate in version control, code reviews, testing, deployment, environment management, and release support.
  • Support CI/CD pipelines, containerization, automated testing, and monitoring where applicable.
  • Improve performance, reliability, scalability, maintainability, and cost efficiency of assigned systems.
  • Follow team standards for code quality, documentation, security, and operational support.

Collaboration and Technical Execution
  • Work under the leadership of the Technical Manager to execute assigned technical priorities.
  • Collaborate with software developers, engineers, data contributors, product contributors, interns, and IT stakeholders as needed.
  • Ask clarifying technical questions and raise risks, blockers, and tradeoffs early.
  • Participate in design reviews, technical planning sessions, and implementation discussions.
  • Provide clear status updates, technical notes, and documentation for assigned work.

Required Qualifications
  • Degree or equivalent experience in computer science, engineering, artificial intelligence, machine learning, data science, software engineering, or a related technical field.
  • Strong programming skills, preferably in Python and modern backend development.
  • Experience with applied AI, machine learning, data processing, automation, or intelligent software systems.
  • Experience working with APIs, databases, backend services, and software integrations.
  • Familiarity with cloud platforms, preferably AWS.
  • Understanding of software engineering practices, including version control, testing, documentation, and deployment.
  • Ability to understand technical direction and convert it into working software components.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Ability to work in a structured technical team environment under the guidance of a Technical Manager.

Preferred Qualifications
  • Advanced degree or research experience in artificial intelligence, machine learning, engineering, optimization, data science, or computational methods.
  • Experience with large language models, OCR, retrieval-augmented generation, vector databases, intelligent agents, or document intelligence systems.
  • Experience applying AI or machine learning to engineering, construction, manufacturing, automation, or complex operational workflows.
  • Experience with AWS services such as S3, Lambda, ECS, ECR, API Gateway, RDS, DynamoDB, Bedrock, Textract, SageMaker, or similar technologies.
  • Experience with CI/CD, GitHub, containers, automated testing, and modern software release practices.
  • Familiarity with technical design workflows, engineering software, or knowledge-intensive business processes is a plus.

Key Success Outcomes
  • Deliver assigned technical components for intelligent systems and AI-enabled applications.
  • Support data pipelines, model evaluation, backend services, APIs, and cloud-based implementation work.
  • Contribute to improving system reliability, maintainability, performance, and scalability.
  • Follow technical direction from the Technical Manager and execute work with increasing independence.
  • Communicate progress, risks, and technical findings clearly and consistently.
  • Help strengthen the team's software, data, AI, and cloud engineering practices.

Reporting and Collaboration
This role reports to the Technical Manager within the software development or digital technology function.
The position is primarily responsible for hands-on technical execution and implementation.
Business requirements, stakeholder priorities, and solution direction will be coordinated through the Technical Manager or designated leadership.
CLARKDIETRICH BENEFITS INCLUDE:
Full benefits package (Medical, Dental, Vision, Flexible Spending Accounts and Life Insurance)
401(k) with company match
Annual Incentive
Paid Time Off
Tuition Reimbursement
Professional Certification Reimbursement Program
Community Service Day

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