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Generative Ai Testing Jobs in Ohio (NOW HIRING)

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Lead Engineer (Generative AI) The Lead Engineer (Generative AI) is a senior technical role ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

New

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Lead Engineer (Generative AI) At U.S. Bank, we're on a journey to do our best. Helping the ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Senior AI Platform Engineer

Cincinnati, OH · On-site

$53 - $68.50/hr

Senior Engineer (Generative AI) At U.S. Bank, we're on a journey to do our best. Helping the ... Contribute to CI/CD pipelines, automated testing, and deployment workflows * Participate in code ...

New

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

Lead AI Platform Engineer

Saint Bernard, OH · On-site

$94K - $125K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing ... Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact.

AI/ML Engineer, Senior

Dayton, OH · On-site

$101K - $139K/yr

... AB testing to ensure robust mission impact. • Apply modern software engineering patterns ... learning, generative AI, or reinforcement learning • 5+ years of experience developing AI/ML ...

Senior AI Platform Engineer

Cincinnati, OH · On-site

$53 - $68.25/hr

Job Summary The Senior Engineer (Generative AI) is responsible for designing, developing, and ... Contribute to CI/CD pipelines, automated testing, and deployment workflows * Participate in code ...

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Showing results 1-20

Generative Ai Testing information

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

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and software quality assurance. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Ohio? For Generative Ai Testing jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Ohio look for? The top searched job categories for Generative Ai Testing jobs in Ohio are:
What cities in Ohio are hiring for Generative Ai Testing jobs? Cities in Ohio with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Ohio as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Lead AI Platform Engineer

Lead AI Platform Engineer

U.S. Bancorp

Cincinnati, OH • On-site

$98K - $129K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 352 frontline employees who took The Breakroom Quiz

39th of 144 rated banks


Job description

Lead Engineer (Generative AI)

The Lead Engineer (Generative AI) is a senior technical role responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems.

The role partners across engineering, product, and business teams to translate complex requirements into production-ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI.

Key Responsibilities

  • GenAI Solution Engineering
  • Design, develop, and deploy GenAI solutions leveraging:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG) architectures
    • Prompt engineering techniques
    • Agentic AI workflows and orchestration
  • Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
  • Evaluate emerging tools and frameworks to continuously improve solution quality and innovation

GenAIOps & Lifecycle Management

  • Lead the end-to-end lifecycle of GenAI solutions, including:
    • Solution architecture and engineering
    • Integration with enterprise systems
    • Secure deployment and release management
    • Monitoring, observability, and continuous optimization
  • Implement GenAIOps best practices to ensure scalability, reliability, and cost efficiency
  • Establish logging, evaluation, and feedback mechanisms for production AI systems

Cloud, Platform & Scalability Engineering

  • Architect and deploy GenAI applications across cloud environments (Azure and AWS)
  • Design distributed systems capable of supporting high-throughput, low-latency AI workloads
  • Leverage modern infrastructure practices:
    • Containerization (Docker)
    • Orchestration (Kubernetes)
    • Infrastructure as Code (Terraform, ARM/Bicep)
  • Ensure high availability, performance, and enterprise-grade security

Software Engineering & Architecture

  • Develop scalable, maintainable applications using Python and microservices-based architectures
  • Apply secure coding standards and robust data handling practices for regulated environments
  • Build and manage CI/CD pipelines supporting automated testing, deployment, and release management
  • Enforce engineering best practices including code reviews, testing, and documentation

Technical Leadership & Influence

  • Provide architectural leadership and guidance across GenAI initiatives
  • Drive critical design decisions for large-scale, complex AI solutions
  • Mentor and coach senior engineers and development teams
  • Translate business requirements into scalable, secure, and resilient technical solutions
  • Partner with stakeholders across product, business, risk, and security functions

Basic Qualifications

  • Bachelor's degree, or equivalent work experience
  • Six to eight years of relevant experience

Experience Should Include

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 8+ years of experience in software engineering, platform engineering, or AI/ML solutions
  • 2+ years hands-on experience with GenAI technologies, including LLMs and RAG architectures and vector databases
  • Strong knowledge of agentic AI concepts and frameworks (e.g., LangChain, LangGraph)
  • Experience with cloud platforms (Azure and/or AWS)
  • Deep understanding of distributed systems and scalable architecture patterns
  • Proficiency in Python and microservices-based development
  • Experience with Docker, Kubernetes, and Infrastructure as Code tools
  • Demonstrated technical leadership and mentoring experience

Preferred Qualifications

  • Experience implementing GenAI solutions in enterprise or regulated environments
  • Familiarity with observability frameworks and AI lifecycle tooling
  • Understanding of AI governance, security, and compliance requirements
  • Experience contributing to or working with AI/ML or GenAI frameworks
  • Background in financial services or other highly regulated industries

Core Competencies

Technical Depth & Innovation

  • Strong expertise in GenAI architectures and evolving AI technologies
  • Ability to balance experimentation with enterprise-grade reliability

Architecture & Systems Thinking

  • Designs scalable, distributed, and resilient systems
  • Aligns architecture decisions with enterprise standards and long-term strategy

Execution & Operational Excellence

  • Drives end-to-end delivery from concept through production
  • Ensures high standards for quality, security, and performance

Leadership & Collaboration

  • Influences without authority and leads through technical expertise
  • Mentors engineers and elevates overall team capability

Business & Stakeholder Alignment

  • Translates complex technical concepts into business outcomes
  • Partners effectively across product, engineering, and leadership teams

***This role requires working from a U.S. Bank location three (3) or more days per week.***

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $139,230.00 - $163,800.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume


What U.S. Bank employees say

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Benefits

Hours and flexibility

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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