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Ai Monitoring Jobs in Ohio (NOW HIRING)

AI Architect

Westerville, OH

$60.75 - $80/hr

Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments. * Document Generative AI design choices and technical ...

Daily Activities: • Monitor OCI service health, logs, dashboards, and alerts. • Troubleshoot ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Cooperate with infrastructure teams to guarantee seamless deployment and monitoring of Large Language Models in operational environments. * Document Generative AI design choices and technical ...

... Monitor model performance and retrain as needed Stay up to date with the latest advancements in AI and machine learning REQUIRED SKILLS & QUALIFICATIONS Bachelor's or Master's degree in Computer ...

AI/ML Engineer

Columbus, OH · On-site

$120K - $130K/yr

Build and operate production agentic AI systems, including deployed, monitored, and debugged agents running at scale. * Own agentic use cases end-to-end, partnering directly with business ...

... Monitor model performance and retrain as needed Stay up to date with the latest advancements in AI and machine learning REQUIRED SKILLS & QUALIFICATIONS Bachelors or Masters degree in Computer ...

AI Engineer

Cleveland, OH · On-site

$120 - $160/hr

Monitor model performance and retrain as needed * Stay up to date with the latest advancements in AI and machine learning Required Skills & Qualifications * Bachelor's or Master's degree in Computer ...

AI Solutions Engineer

Cincinnati, OH · On-site

$110 - $150/hr

Implement application monitoring, logging, alerting, and performance tracking to ensure reliability ... AI and automation initiatives are successfully deployed into production on a regular basis.

New

... Monitor model performance and retrain as needed Stay up to date with the latest advancements in AI and machine learning REQUIRED SKILLS & QUALIFICATIONS Bachelor's or Master's degree in Computer ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

... Monitor model performance and retrain as needed · Stay up to date with the latest advancements in AI and machine learning REQUIRED SKILLS & QUALIFICATIONS · Bachelor's or Master's degree in ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis ...

Senior AI Engineer

Toronto, OH · On-site

$93K - $128K/yr

... SLAs, monitoring, alerting, and runbooks. • Own complex problem resolution across environments, including production incidents related to AI systems. • Embed AI governance directly into ...

... • Monitor model performance and retrain as needed • Stay up to date with the latest advancements in AI and machine learning Qualifications : Required : • Bachelor's or Master's degree in ...

$104 - $162/hr

Nicht zuletzt gehört die Etablierung von Monitoring-, Logging-, Observability- und Governance-Konzepten für einen sicheren und skalierbaren AI-Betrieb zu deinem Aufgabenbereich. * Du zeichnest dich ...

New

... monitoring, and maintenance. Applicants must be currently authorized to work in the United States ... Build containerized AI services in Python. Implement clean APIs where needed and standards-based ...

... monitoring, and maintenance. Applicants must be currently authorized to work in the United States ... Build containerized AI services in Python. Implement clean APIs where needed and standards-based ...

Showing results 41-60

Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Ai Monitoring job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

$95 - $130/hr

Other

PTO

Posted 2 days ago

New


Job description

We are looking for an AI Engineer to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below.

This is an exciting opportunity for a hands-on AI practitioner to help drive the adoption of cutting-edge AI tools and engineering practices within a growing technology team, based in a hybrid role in Columbus, OH.

Responsibilities
  • Design, build, and deploy AI-powered features and tools to improve engineering productivity and product capabilities
  • Leverage AI coding assistants such as GitHub Copilot, Claude, and Cursor to accelerate development workflows
  • Collaborate with engineering teams to integrate AI/LLM-based solutions into existing systems and processes
  • Evaluate and prototype emerging AI tools, models, and frameworks to identify opportunities for adoption
  • Develop and maintain prompt engineering best practices and internal documentation
  • Partner with cross-functional stakeholders to identify use cases where AI can drive efficiency or innovation
  • Monitor the performance, reliability, and output quality of AI-driven tools and systems
  • Stay current on advancements in generative AI and large language models, sharing knowledge with the broader team
  • Troubleshoot and resolve issues related to AI tool integration and performance
Qualifications
  • 2-3 years of demonstrated AI engineering experience
  • Hands‑on experience with AI coding tools such as GitHub Copilot, Claude, and Cursor
  • Strong programming skills in one or more languages (e.g., Python, JavaScript, or similar)
  • Familiarity with large language models (LLMs), prompt engineering, and AI‑assisted development workflows
  • Strong problem-solving skills and ability to quickly learn and evaluate new tools and technologies
  • Excellent communication skills and ability to collaborate across technical and non‑technical teams
  • Comfortable working in a hybrid environment with occasional in‑office collaboration
What Our Client Offers
  • Competitive salary with opportunities for performance‑based bonuses
  • Hybrid work schedule based in Columbus, OH
  • Access to cutting‑edge AI tools and technologies
  • Strong culture of innovation and continuous learning
  • Generous paid time off and flexible scheduling
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