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Generative Ai Analyst Jobs in Ohio (NOW HIRING)

It will also champion smarter ways of working, including the responsible use of generative AI and automation to improve the efficiency, quality and depth of financial analysis and insight. The ...

It will also champion smarter ways of working, including the responsible use of generative AI and automation to improve the efficiency, quality and depth of financial analysis and insight. The ...

It will also champion smarter ways of working, including the responsible use of generative AI and automation to improve the efficiency, quality and depth of financial analysis and insight. The ...

It will also champion smarter ways of working, including the responsible use of generative AI and automation to improve the efficiency, quality and depth of financial analysis and insight. The ...

Track and synthesize developments in the legal AI landscape including generative AI, large language ... Strong analytical and critical thinking skills, with the ability to systematically evaluate ...

Track and synthesize developments in the legal AI landscape including generative AI, large language ... Strong analytical and critical thinking skills, with the ability to systematically evaluate ...

... generative AI, natural language processing, predictive analytics, and AI agents. • Experience collaborating with technical teams such as software engineers, architects, and data scientists. • ...

Decision Support Senior Analyst

Dayton, OH · On-site

$83K - $103K/yr

It will also champion smarter ways of working, including the responsible use of generative AI and automation to improve the efficiency, quality and depth of financial analysis and insight. The ...

Track and synthesize developments in the legal AI landscape including generative AI, large language ... Strong analytical and critical thinking skills, with the ability to systematically evaluate ...

Experience with AI-enabled pricing optimization, predictive analytics, or generative AI tools applied to business processes. * Experience with SQL, Python, R, Power Query, or similar analytics and ...

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Showing results 21-40

Generative Ai Analyst information

See Ohio salary details

$46.6K

$84.2K

$117.4K

How much do generative ai analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for generative ai analyst in Ohio is $84,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,600.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

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

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.

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

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

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

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

Infographic showing various Generative Ai Analyst job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $84,202 per year, or $40.5 per hour.

Principal AI Engineer - AI Transformation

Fifth Third

Cincinnati, OH

Full-time

Re-posted 3 days ago


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 architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank, with a strong focus on research and experimentation of generative AI models and agentic systems. This role involves conducting rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data. The AI Engineer creates solutions that range from on-demand analytics to fully integrated software systems, working closely with cross-functional teams to align technical solutions with business requirements. Staying apprised and educating senior leaders on emerging AI trends, risks, and opportunities.

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

Essential Duties and Responsibilities

AI Development and Implementation

  • Design, develop, and implement AI and machine learning systems that address specific business challenges and deliver measurable value.
  • Create and maintain model documentation, ensuring transparency in methodologies and approaches.
  • Research, test, and apply state-of-the-art generative AI models and/or solutions for potential use.
  • Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization for complex task completion.
  • Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ensure output quality.
  • Stay current with emerging AI/ML technologies, frameworks, and methodologies.
  • Contribute to establishing best practices for AI development and deployment.
  • Sets enterprise-wide technical standards by defining reference architectures, chairing design reviews, and approving model lifecycle gates (e.g., data sourcing, bias audits, drift monitoring).

Analytics and Insights

  • Extract meaningful patterns and insights from complex, multi-dimensional data sets.
  • Apply advanced analytics including predictive modeling, machine learning, and optimization techniques.
  • Translate business questions into well-defined analytical problems with clear objectives
  • Design and execute experiments with statistically valid methodologies and evaluation criteria.
  • Develop specialized analytics for banking-specific use cases while maintaining compliance with financial regulations.

Collaboration and Communication

  • Leads projects or processes with limited supervision, applying advanced knowledge to solve complex problems.
  • Acts as a resource for colleagues, influencing technical direction and standards across multiple products or platforms.
  • Drives cross-team technical initiatives, ensuring integration, scalability, and compliance across multiple products and platforms.
  • Partner with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Effectively communicate complex technical concepts to non-technical stakeholders.
  • Present findings, recommendations, and insights to business teams in accessible formats.
  • Collaborate with software engineers, cloud engineers, data engineers, and data scientists to integrate AI solutions into existing systems and products.
  • Work with compliance and security teams to ensure AI systems meet banking regulatory requirements.

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 and deploying machine learning or AI solutions in production environments.

Technical Skills

  • Strong programming skills with proficiency in Python; familiarity with JavaScript and SQL.
  • Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, tool integration, and agentic system design.
  • Experience with cloud computing platforms (AWS preferred, specifically Bedrock, Sagemaker, Lex, etc.).
  • Skilled in data visualization and storytelling, effectively communicating complex analytical insights in clear, actionable formats for technical and non-technical audiences.
  • Experience with machine learning frameworks (PyTorch, scikit-learn, Hugging Face).
  • Practical knowledge of deep learning, neural networks, and traditional ML algorithms.
  • Familiarity with model optimization techniques including quantization and distillation.
  • Knowledge of AI orchestration frameworks (LangChain, LlamaIndex, MCPs, etc.)

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

Business and Soft Skills

  • Communicates clearly and builds consensus across teams
  • Mentors colleagues and promotes knowledge sharing
  • Excellent written and verbal communication skills
  • Strong analytical thinking and problem-solving abilities
  • Ability to manage time effectively and prioritize competing demands
  • Self-motivated with demonstrated capacity to work independently
  • Experience working in Agile environments
  • Proficiency with Microsoft Office suite (Word, Excel, PowerPoint)
  • Understanding of ethical considerations in AI deployment

#LI-MB1

Principal AI Engineer - AI 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 -- Frisco, Texas 75034

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.