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Intelligent Systems Engineering Jobs in Ohio (NOW HIRING)

GE Aerospace

Software Engineer AI/ML

Cincinnati, OH · On-site

$109K - $132K/yr

This is a multi-faceted engineering role. You'll spend most of your time developing AI/ML products ... models, anomaly detection systems, and intelligent agents. Own the full AI/ML lifecycle ...

GE Aerospace

Software Engineer AI/ML

Evendale, OH · On-site

$109K - $132K/yr

This is a multi-faceted engineering role. You'll spend most of your time developing AI/ML products ... models, anomaly detection systems, and intelligent agents. Own the full AI/ML lifecycle ...

GE Aerospace

Software Engineer AI/ML

Sharonville, OH · On-site

$105K - $126K/yr

This is a multi-faceted engineering role. You'll spend most of your time developing AI/ML products ... models, anomaly detection systems, and intelligent agents. Own the full AI/ML lifecycle ...

GE Aerospace

Software Engineer AI/ML

West Chester, OH · On-site

$108K - $129K/yr

This is a multi-faceted engineering role. You'll spend most of your time developing AI/ML products ... models, anomaly detection systems, and intelligent agents. Own the full AI/ML lifecycle ...

Symbotic

System Engineer

Grove City, OH

Intelligent software orchestrates advanced robots in a high-density, end-to-end system ... and electro-mechanical systems. * Prior experience in maintenance engineering, automation ...

Analogdevices

$184K - $266K/yr

... enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software ... BSEE required, MSEE preferred. * 20+ years of experience in system applications engineering system ...

Statheros

Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the ...

Shield AI

Chief Engineer, Autonomy (R5150)

Dayton, OH · On-site

Shield AI is a venture-backed defense-tech company focused on protecting service members and civilians with intelligent systems. They are seeking a Chief Engineer of Autonomy to lead the technical ...

Pwc

GenAI Python Systems Engineer-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

... intelligent decision-making and automation. Enhancing your leadership style, you motivate, develop ... The Opportunity As part of the Data and Analytics Engineering team, you lead the development and ...

Pwc

GenAI Python Systems Engineer-Manager

Columbus, OH · On-site

$99K - $232K/yr

... intelligent decision-making and automation. Enhancing your leadership style, you motivate, develop ... The Opportunity As part of the Data and Analytics Engineering team, you lead the development and ...

Pwc

GenAI Python Systems Engineer-Manager

Toledo, OH · On-site

$99K - $232K/yr

... intelligent decision-making and automation. Enhancing your leadership style, you motivate, develop ... The Opportunity As part of the Data and Analytics Engineering team, you lead the development and ...

Pwc

GenAI Python Systems Engineer-Manager

Cleveland, OH · On-site

$99K - $232K/yr

... intelligent decision-making and automation. Enhancing your leadership style, you motivate, develop ... The Opportunity As part of the Data and Analytics Engineering team, you lead the development and ...

Analogdevices

... enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software ... S. in Electrical Engineering, Computer Engineering, Robotics, or related field * 5+ years of ...

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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 Jun 26, 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 engineers make $300,000 a year?

In the field of Intelligent Systems Engineering, senior engineers with extensive experience, specialized skills in AI, machine learning, or robotics, and advanced certifications can reach or exceed a $300,000 annual salary. These roles often require leadership responsibilities, high-level technical expertise, and work in industries such as technology, aerospace, or defense. Compensation varies based on location, company size, and individual qualifications.

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 is an intelligent systems engineering salary?

The average salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals with specialized skills in AI, machine learning, and robotics tend to earn higher salaries, especially in tech hubs or industries with high demand for automation and intelligent solutions.

What is an Intelligent Systems Engineering job?

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, aerospace engineering, or petroleum engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What are the key skills and qualifications needed to thrive in the Intelligent Systems Engineering position, 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.

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 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 June 2026, with employment types broken down into 78% Full Time, 15% Part Time, 5% Contract, and 2% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $135,065 per year, or $64.9 per hour.
Software Engineer AI/ML

Software Engineer AI/ML

GE Aerospace

Cincinnati, OH • On-site

$109K - $132K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

GE Aerospace rating

8.9

Company rating: 8.9 out of 10

Based on 173 frontline employees who took The Breakroom Quiz

5th of 60 rated aerospace companies

Job description

Job Description Summary
The CES Business Intelligence team is building the next generation of AI-powered solutions for commercial, contracts, and operations. We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications.
This is a multi-faceted engineering role. You'll spend most of your time developing AI/ML products by training models, developing applications, and creating APIs. You will partner closely with analytics teams to enable AI within our existing operational tools. You'll also contribute to AI strategy and partner with executive stakeholders to align on requirements, success metrics, and business impact. We're looking for someone who's excited to expand their technical skillset in AI/ML and deliver advanced solutions that directly impact daily operations.
What you'll do: Design, build, deliver, and maintain AI/ML products including LLM-powered applications, forecasting models, anomaly detection systems, and intelligent agents. Own the full AI/ML lifecycle: requirements analysis, model design, training, evaluation, API development, deployment, and operational support. Convert complex operational datasets into scalable AI capabilities that enable real-time decision support.
Job Description
Roles and Responsibilities:
AI/ML Product Development
  • Define, build, and evolve AI-powered software products that accelerate Commercial Engine Services operations-including LLM applications, machine learning models, and intelligent automation for supply chain optimization
  • Create Model Context Protocol (MCP) servers that package domain-specific AI capabilities for reuse across the enterprise.
  • Package AI/ML models as robust, well-documented APIs that enable seamless integration into dashboards, applications, and operational workflows.
  • Collaborate with BI team to embed AI features into existing applications that enable natural language queries, predictive insights, and intelligent recommendations directly within user-facing applications
Technical Leadership & Collaboration
  • Provide hands-on AI/ML technical leadership for our modernization initiative, setting best practices for prompt engineering, model evaluation, experiment tracking, and responsible AI development
  • Partner with executive stakeholders and BI leadership to understand business challenges and translate operational needs into AI/ML capabilities
  • Ensure AI/ML models deploy reliably to AWS infrastructure with proper monitoring, logging, and performance optimization
  • Translate requirements into a prioritized backlog of AI/ML products, driving delivery to required timelines, quality standards, and measurable business outcomes
  • Collaborate with data platform teams to design data pipelines that feed AI/ML models to ensure data quality, freshness, and proper feature engineering from the Databricks medallion architecture
AI/ML Infrastructure & MLOps
  • Establish MLOps practices including experiment tracking (MLflow, Weights & Biases), model versioning, automated evaluation pipelines, and A/B testing frameworks for continuous model improvement
  • Drive world-class quality through rigorous SDLC practices: Lean/Agile/XP, CI/CD, automated testing, secure coding, scalability patterns, documentation-as-code, refactoring, and performance engineering
  • Implement monitoring and observability for AI/ML systems to track model performance, data drift, prediction latency, and error rates; build automated alerting for model degradation
  • Design vector database architectures and semantic search capabilities to power RAG applications; optimize retrieval strategies for accuracy and latency
  • Build evaluation frameworks for LLM applications-measuring response quality, accuracy, relevance, and hallucination rates; establish automated testing for prompt templates and model outputs
  • Ensure responsible AI practices including bias detection, explainability (SHAP, LIME), privacy-preserving techniques, and compliance with enterprise AI governance policies
Innovation & Strategy
  • Drive the AI/ML roadmap for Commercial Engine Services BI team by identifying high-impact use cases, evaluating emerging AI technologies, and building proof-of-concepts that demonstrate business value
  • Stay current on LLM advancements, ML frameworks, vector databases, and AI application patterns; bring practical innovations that improve decision speed and operational outcomes
  • Engage domain experts to ensure successful transfer of complex operational knowledge into AI models and intelligent systems
  • Establish reusable AI/ML components, templates, and reference architectures that accelerate future development and enable the BI team to leverage AI capabilities independently
  • Communicate AI/ML concepts, tradeoffs, and results to non-technical stakeholders through clear documentation, executive presentations, and live demonstrations
Required Qualifications
  • Bachelor's Degree in Computer Science, Data Science, Statistics, Engineering, or related field from an accredited college or university
  • Minimum of 3 years of hands-on AI/ML engineering experience building and deploying machine learning models and/or AI-powered applications to production
Desired Characteristics
Technical Expertise
  • Write production-quality code that meets standards and delivers intended functionality using the most appropriate technologies for the project (e.g., Python, Java, C#, TypeScript-based on system needs)
  • Proven experience building data platforms and production LLM-powered applications; strong understanding of prompt engineering, retrieval-augmented generation, and vector databases
  • Strong foundation in supervised/unsupervised learning, time-series forecasting, classification, and optimization
  • Experience with MLflow, model registries, automated training pipelines, A/B testing frameworks, and model monitoring; strong DevOps collaboration skills
  • Expertise in development platforms and services: AWS, Visual Studio, Databricks, GitHub, etc.
  • Experience building REST APIs (FastAPI, Flask) for model serving; understanding of authentication, rate limiting, versioning, and API documentation
Domain & Business Acumen
  • Experience building AI/ML solutions for supply chain, manufacturing, maintenance, or operations analytics is a strong plus
  • Understands business metrics and can translate AI/ML capabilities into quantifiable business outcomes (cost savings, time reduction, forecast accuracy improvement)
  • Skilled in breaking down ambiguous AI problems, writing clear problem statements, and estimating model development effort accurately
  • Stays current on AI/ML industry trends (LLM advancements, new frameworks, emerging techniques); brings practical innovations backed by proof-of-concepts
Leadership & Collaboration
  • Leads by example through delivering AI/ML products while mentoring team on AI integration, prompt engineering, and model usage
  • Able to work through ambiguity and drive alignment between AI capabilities and business needs; communicates model limitations, confidence intervals, and uncertainty clearly to non-technical stakeholders
  • Continuously measures solutions against user expectations while balancing competing priorities and maintaining build quality.
Personal Attributes
  • Strong written and verbal communication skills with the ability to explain complex AI/ML concepts simply and translate effectively between data scientists, software engineers, and business stakeholders
  • Effective collaborator who works seamlessly with BI developers, platform engineers, and business stakeholders
  • Business-minded approach that focuses on operational metrics, user needs, and business impact while designing AI solutions that solve real problems rather than technical exercises
  • Persists to completion by driving AI/ML products through deployment, monitoring, and iteration while taking ownership of model performance and continuously improving accuracy

The base pay range for this position is $112,000-150,000. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on May 28th, 2026.
GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual.
#LI-JR1
Additional Information
GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
#LI-Remote - This is a remote position

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