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Generative Ai Engineer Jobs in Ohio (NOW HIRING)

SmartIPlace

AI Engineer Lead[100%REMOTE]

Columbus, OH · On-site

$99K - $130K/yr

Responsibilities include building and (/or) mentoring AI engineers to build conversational agents, integrating with natural language processing or generative AI, and agents/ virtual assistants to ...

Mindlance

Machine Learning Engineer

Cincinnati, OH · On-site

Job Overview We are seeking a highly skilled Machine Learning / Generative AI Engineer to join a team developing AI-powered solutions for a major financial services organization. The ideal candidate ...

New

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... or generative AI Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines ...

Flexjet LLC

AI Engineer

Cleveland, OH · On-site

$120 - $160/hr

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine ... Experience with NLP, computer vision, or generative AI * Familiarity with MLOps tools (e.g., Docker ...

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... or generative AI Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines ...

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

This role is ideal for an experienced data scientist with strong software engineering and machine learning skills, deep expertise in NLP and Generative AI, and experience developing AI solutions ...

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

This role is ideal for an experienced data scientist with strong software engineering and machine learning skills, deep expertise in NLP and Generative AI, and experience developing AI solutions ...

Flexjet

AI Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and ... generative AI · Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines) · ...

Flexjet

AI Engineer

Cleveland, OH · On-site

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine ... vision, or generative AI • Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model lifecycle management, and Generative AI deployment. Lead a team of AI engineers and MLOps specialists ...

Flexjet

Director of AI Engineering

Cleveland, OH

Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model lifecycle management, and Generative AI deployment. Lead a team of AI engineers and MLOps specialists ...

Flexjet LLC

Director of AI Engineering

Cleveland, OH · On-site

$180 - $260/hr

Lead the strategy, architecture, and implementation of enterprise AI, Generative AI, and MLOps ... Lead, mentor, and grow teams of AI Engineers and MLOps Engineers, fostering engineering excellence ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

Combine strong engineering leadership with deep expertise in MLOps, cloud infrastructure, model lifecycle management, and Generative AI deployment. Lead a team of AI engineers and MLOps specialists ...

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Showing results 21-40

All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Ohio

Generative Ai Engineer information

See Ohio salary details

$36.1K

$110.2K

$182.1K

How much do generative ai engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for generative ai engineer in Ohio is $110,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,900.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Ohio?

The most popular types of Generative Ai Engineer jobs in Ohio are:

What are popular job titles related to Generative Ai Engineer jobs in Ohio?

For Generative Ai Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in Ohio look for?

The top searched job categories for Generative Ai Engineer jobs in Ohio are:

What cities in Ohio are hiring for Generative Ai Engineer jobs?

Cities in Ohio with the most Generative Ai Engineer job openings:

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Ohio as of August 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $110,152 per year, or $53 per hour.

AI Engineer - Automated Channels Transformation

Fifth Third Bank

Cincinnati, OH • On-site

Full-time

Re-posted 12 days ago

Fifth Third Bank rating

7.6

Company rating: 7.6 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

98th of 174 rated banks

Job description

Make banking a Fifth Third better®
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
General Function
The Principal AI Engineer designs and builds artificial intelligence systems that address complex business challenges and deliver measurable value with a focus on agentic AI. This role functions as a forward-deployed engineer partnering with product owners, lines-of-business, engineering, security, risk, and compliance to identify high-impact opportunities, and deliver safe and effective agentic AI solutions.
This role focuses on AI for the Customer by using generative AI predominantly in AWS to deliver operational efficiency and superior customer experience. The Principal AI Engineer develops AI agents that leverage reasoning, planning, retrieval, and tools to complete complex tasks; establishes evaluation and documentation practices; monitors production performance; and produces evidence needed for governance.
This role communicates complex AI concepts, risks, opportunities, and recommendations clearly to technical teams, business stakeholders, and senior leaders while supporting the Bank's business goals and remaining within risk appetite.
Essential Duties and Responsibilities
AI Development and Implementation
  • Design and build generative AI and/or agentic systems that solve business problems and deliver measurable value

  • Develop AI agents that use reasoning, planning, retrieval, and tool integration to complete complex tasks

  • Evaluate AI agents before and after their deployment to drive continuous improvement and ensure effectiveness of AI systems

  • Research, prototype, and apply emerging AI models, agent frameworks, orchestration patterns, and enterprise development
    practices

Analytics and Insights
  • Design and execute experiments to evaluate prompts, retrieval strategies, agent workflows, tool integrations, and user experience

  • Conduct data analysis to compare prompts, workflows, and tools across runtime, accuracy, and output quality; report results for governance processes; and quantify return on investment for AI solutions

  • Use supervised and unsupervised learning techniques to understand customer needs on the channels we support to inform decision making.

  • Define success metrics for each AI use case, such as containment, time to resolution, customer satisfaction, or sentiment.

  • Monitor agent performance in production, including latency, failure rates, tool-call success, escalation rates, retry behavior, and cost per interaction

  • Produce evidence for AI governance reviews, including evaluation results, control effectiveness, model/tool performance, and risk mitigation outcomes

Collaboration and Communication
  • Deliver complex AI projects and cross-team initiatives with limited supervision, ensuring solutions are integrated, scalable, and compliant

  • Serve as a technical authority for colleagues by influencing architectural decisions, and shaping engineering standards across products and platforms

  • Partner with product owners and line-of-business teams to understand day-to-day workflows, identify automation opportunities, and translate business needs into well-defined AI and agentic use cases with clear objectives, constraints, and success criteria

  • Educate technical teams, business stakeholders, and senior leaders on AI concepts, solution designs, recommendations, opportunities, and emerging trends through clear, practical guidance

  • Collaborate with software engineers, cloud engineers, data engineers, and data scientists to integrate AI solutions into existing systems and products

  • Work with compliance, security, and risk teams to ensure AI systems meet governance, regulatory, and responsible AI requirements before and after deployment

Minimum Knowledge, Skills and Abilities Required
Education and Experience
  • Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related technical field; advanced degree preferred but not required

  • 6+ years of experience developing software or AI solutions in production environments

Technical Skills
  • Strong programming skills in Python, Typescript, Java, Go, or similar languages used for AI engineering and software development

  • Expertise in generative AI techniques, e.g. context engineering, LLM fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, model context protocol (MCP), loop/graph engineering, skills/open knowledge format, and agentic system design

  • Experience with cloud computing platforms, preferred (especially AWS)

  • Familiarity with prompt optimization, retrieval tuning, caching, and model selection to improve generative AI performance, latency, cost, and reliability

  • Knowledge of agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, Strands, Google ADK, Anthropic sdk, or OpenAI sdk

Engineering Practices
  • Proficiency with version control systems (Git/GitHub)

  • Understanding of CI/CD pipelines and DevOps practices

  • Experience with containerization and Infrastructure as Code (Docker, Terraform)

  • Knowledge of data structures, algorithms, and software design principles

  • Experience designing observability systems for AI applications preferred

Business and Soft Skills
  • Demonstrates curiosity and adaptability by quickly learning new skills, techniques, tools, and frameworks as AI technologies and business needs evolve.

  • Communicates clearly, builds consensus, and presents ideas effectively in written and verbal formats.

  • Promotes knowledge sharing and supports strong cross-team collaboration.

  • Uses sound analytical judgment to solve problems, prioritize competing demands, and work independently.

  • Works well in Agile environments and with standard business productivity tools.

  • Understands ethical considerations and responsible practices for AI deployment.

Must be willing to relocate to Cincinnati, OH
#LI-MB1
AI Engineer - Automated Channels Transformation
At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.
The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.
Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner.
LOCATION -- Cincinnati, Ohio 45202
Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

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