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Ai Automation Testing Jobs in Ohio (NOW HIRING)

Cohen & Co.

AI/Automation Engineer

Cleveland, OH · On-site

Perform detailed testing and tie-out procedures to help ensure analytical outputs are accurate ... Design and develop practical AI and automation solutions using Claude, Claude Code, Claude Cowork ...

Cohen and Co.

AI/Automation Engineer

Cleveland, OH · On-site

Perform detailed testing and tie-out procedures to help ensure analytical outputs are accurate ... Design and develop practical AI and automation solutions using Claude, Claude Code, Claude Cowork ...

TekLeaders, Inc

QA Automation Tester

Westerville, OH · On-site

Role: QA Automation Tester Location: Westerville, OH Location first preference: Atlanta, Vienna ... Good to have AI usage in QA * Experience or knowledge of testing web applications and Webservices ...

ComResource

QA Automation Engineer

Cincinnati, OH · On-site

ComResource is looking for a QA Automation Engineer. Responsibilities: * Work as part of an Agile ... Digital.ai or qTest. * Experience with data extract testing including Snowflake, ETL count ...

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Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What are popular job titles related to Ai Automation Testing jobs in Ohio?

For Ai Automation Testing jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Ai Automation Testing jobs in Ohio look for?

The top searched job categories for Ai Automation Testing jobs in Ohio are:

What cities in Ohio are hiring for Ai Automation Testing jobs?

Cities in Ohio with the most Ai Automation Testing job openings:

Ai Automation Testing jobs near you
Infographic showing various Ai Automation Testing job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI/Automation Engineer

Cleveland, OH • On-site

Cohen & Co.
See more jobs at Cohen & Co.external

Full-time

PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

WhatYou willDo

We are seeking a skilled AI/Automation Engineer to support our Transaction Services team, with a primary focus on buy-side and sell-side due diligence engagements. In this role, you will combine data analytics, workflow automation, and agentic AI development to help engagement teams analyze large, complex datasets quickly and accurately. You will build practical Excel-based tools, Power Automate workflows, and AI-enabled solutions using tools such as Claude, Claude Code, Claude Cowork, and Azure-based architectures, while collaborating closely with our Data Intelligence Services (DIS) team and reporting directly into Transaction Services.

This opportunity is ideal for a highly analytical builder who enjoys working at the intersection of finance, data, automation, and AI-enabled process improvement. The right person will be comfortable supporting fast-paced deal work while also developing repeatable tools, templates, low-code solutions, and agentic AI workflows that improve efficiency across due diligence engagements.

Due Diligence Analytics & Data Transformation

  • Analyze large, messy, and multi-source datasets to support buy-side and sell-side due diligence engagements

  • Build advanced Excel models, reusable templates, VBA-enabled tools, and AI-assisted workflows to improve the speed, consistency, and quality of engagement delivery

  • Use Power Query, Power Pivot, and other data transformation techniques to cleanse, structure, and reconcile client data for analysis

  • Develop low-code and agentic AI-enabled solutions that reduce manual effort across diligence procedures, recurring analyses, data intake, and review workflows

  • Standardize and automate data intake, validation, mapping, and exception reporting across multiple client systems and file formats

  • Perform detailed testing and tie-out procedures to help ensure analytical outputs are accurate, complete, and engagement-ready

  • Partner with DIS resources on more advanced data, automation, application, Azure architecture, or agentic AI development needs as engagement requirements evolve

Agentic AI, Automation & Solution Development

  • Design and develop practical AI and automation solutions using Claude, Claude Code, Claude Cowork, Power Automate, Azure services, and other approved tools

  • Build proof-of-concepts and repeatable accelerators that combine structured workflows, prompts, connectors, data transformation, and human review steps

  • Support Azure-based solution design, including data flows, integrations, security-aware deployment patterns, and scalable architecture decisions

  • Use AI-assisted development tools to prototype scripts, automations, and lightweight applications that solve real engagement and operational pain points

  • Document solution logic, assumptions, controls, and support requirements so tools can be maintained, reused, and responsibly adopted by engagement teams

Engagement Support & Process Improvement

  • Work closely with Transaction Services professionals to understand engagement objectives, key diligence issues, and required outputs

  • Translate raw client data into usable analyses, schedules, and insights that support quality of earnings, working capital, and other diligence procedures

  • Identify opportunities to streamline recurring work through automation, standardized workbooks, Power Automate workflows, and targeted AI-enabled process enhancements

  • Assist with data organization, documentation, and repeatable workflows that improve consistency across engagements and team members

  • Balance multiple projects in a deadline-driven environment while maintaining strong attention to detail and responsiveness to engagement teams

Reporting, Insights & Decision Support

  • Prepare clear, accurate analyses and supporting schedules for use in due diligence reporting and client deliverables

  • Develop dashboards, summaries, and visual outputs in Excel, Power BI, or similar tools to help teams identify trends, anomalies, and key business drivers

  • Support engagement teams and leadership with insights that improve decision-making during active transactions

Team & Cross-Functional Collaboration

  • Collaborate daily with Transaction Services professionals and maintain close alignment with the DIS team on analytical approaches, tool development opportunities, and AI/automation solution design

  • Communicate findings, data issues, and process recommendations clearly to both technical and non-technical stakeholders

  • Contribute to a collaborative team environment focused on practical problem-solving, responsible AI usage, continuous improvement, and high-quality client service

Who You Are

Required Qualifications

  • Bachelor's degree inComputer Science,Accounting, Finance, Data Analytics, Information Systems, or a related field

  • 3-5 years of experience in data analytics, financial analysis, transaction support, automation development, AI-enabled solution development, or a similar analytical role

  • Advancedproficiencyin Excel, including complex formulas, data manipulation, workbook design, and hands-on experience using VBA or similar scripting approaches to automate processes

  • Strong experience withPower Query, data cleansing, reconciliation, and transforming large datasets from multiple source files or systems

  • Experience building practical automation solutions using low-code tools, reporting tools, workflow technologies, or AI-assisted development environments

  • Hands-on experience with AI-assisted development tools such as Claude and Claude Code, or comparable LLM-based development environments

  • Working knowledge of Azure architecture concepts, including application integration, data storage, identity/security considerations, and deployment patterns

  • Ability to design practical agentic workflows that include clear task structure, human-in-the-loop review, documentation, and quality control

  • Strong analytical, problem-solving, and quality control skills with the ability to work accurately under tight deadlines

  • Effective communication skills, including the ability to collaborate with engagement teams, explain analyses to non-technical stakeholders, and translate business needs into practical automation or AI-enabled solutions

Preferred Qualifications

  • Experience supportingbuy-side or sell-side due diligence, transaction advisory, quality of earnings, or related financial analysis engagements

  • Familiarity with Power Automate, Alteryx, SQL, Python, Azure services, or similar automation, integration, and data preparation tools

  • Experience with Claude Code, Claude Cowork, agentic AI workflows, prompt engineering, or LLM-based automation design

  • Experience building lightweight applications, APIs, connectors, or workflow integrations using Azure, Power Platform, GitHub, Python, SQL, or similar tools

  • Familiarity with responsible AI practices, including validation, documentation, user review, andappropriate controlsaround AI-generated outputs

  • Experience working with ERP exports, general ledger detail, trial balances, or other financial datasets commonly used in diligence engagements

  • Exposure to professional services, accounting, advisory, finance, automation, or AI-enabled delivery environments

  • CPA, CFA, or other relevant credentials or progress toward certification is a plus


Who We Are

#LifeatCohen


Sure, we like numbers. (But we'll never treat you like one.)


At Cohen & Co our foundational principles offer insight into how we achieve an inclusive, growth-oriented culture that fuels the success of our firm, our clients and our people. In particular, we honor our foundational principle of "great people first" by:

  • Championing the importance of diversity, equity and inclusion by embracing the unique stories, backgrounds, perspectives and ideas that come from our people; and
  • Offering a comprehensive and competitive Total Rewardspackage, which allows each employee to use the benefits that best suits their needs. Our offerings go beyond standard options, including time off outside of your standard PTO to give back to the community, annual discretionary merit increases and bonuses, talent development resources to tap into growth opportunities, and so much more!

Learn More About Us!
  • Discover our Passion, Purpose & Expertise
  • Learn more about our Firm's culture

Estimated Base Range: $85,000-$150,000

*Base compensation offered to candidates are determined based on factors such as candidate's relevant skillset, experience, licensure, and certifications, as well as job responsibilities, geography, market considerations, and organizational needs. At Cohen & Co, we don't stop at setting ourselves apart by offering competitive base compensation. As part of our 'great people first' foundational principle, our firm offers a comprehensive and competitive Total Rewards package that allows each employee to design a package that best suits their needs and goes beyond standard options, including time off outside of your standard PTO to recharge and give back to the community, annual discretionary merit increases and bonuses, talent development resources to tap into growth opportunities.

We are an equal opportunity employer and value diversity of thought and background to build an inclusive and energized culture and better meet the needs of our clients.

Agency recruiters may not submit unsolicited candidate information or resumes to any Cohen & Co employee without a recruiting services contract first being entered into with the Cohen & Co Talent Acquisition Team; see policy here.

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