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Ai Reliability Engineer Jobs in Ohio (NOW HIRING)

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

Huntington

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

Cybercoders

Reliability Engineer

Cincinnati, OH · On-site

$110K - $130K/yr

Reliability Engineer Reliability Engineer Position Overview We are seeking a Reliability Engineer ... Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual ...

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$55 - $73.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

Huntington

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Description The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is ...

JP Morgan Chase

Lead Site Reliability Engineer

Columbus, OH · On-site

$53.75 - $71.25/hr

As a Lead Site Reliability Engineer at JPMorgan Chase within the Enterprise technology, engineering ... Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e ...

JPMorgan Chase & Co.

Lead Site Reliability Engineer

Columbus, OH · On-site

$53.75 - $71.25/hr

As a Lead Site Reliability Engineer at JPMorgan Chase within the Enterprise technology, engineering ... Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e ...

Huntington

Site Reliability Engineer (SRE) - II

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Contributions to open source AI/SRE projects or relevant technical communities Proven track record of managing complex infrastructure, troubleshooting production issues, and optimizing system ...

JPMorgan Chase & Co

Lead Site Reliability Engineer

Columbus, OH · On-site

$53.75 - $71.25/hr

As a Lead Site Reliability Engineer at JPMorgan Chase within the Enterprise technology, engineering ... Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e ...

Mimecast

Senior Site Reliability Engineer

Columbus, OH

$55 - $73.25/hr

Senior Site Reliability Engineer About Mimecast Relentless protection. Resilient world. Mimecast ... AI-First Engineering at Mimecast Mimecast is an AI-First engineering organization. Our teams ...

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Ai Reliability Engineer information

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

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What are AI Reliability Engineers?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges Ai Reliability Engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.
What are popular job titles related to Ai Reliability Engineer jobs in Ohio? For Ai Reliability Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Ohio look for? The top searched job categories for Ai Reliability Engineer jobs in Ohio are:
What cities in Ohio are hiring for Ai Reliability Engineer jobs? Cities in Ohio with the most Ai Reliability Engineer job openings:
Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Ohio as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.
Digital - Principal SRE (AI Engineer)

Digital - Principal SRE (AI Engineer)

Huntington National Bank

Columbus, OH • On-site

$55 - $73.25/hr

Full-time

Re-posted 11 days ago

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

51st of 149 rated banks

Job description

Description
The Digital - Principal SRE (AI Engineer) role is a position that blends expertise in artificial intelligence, machine learning, and reliability engineering. This professional is responsible for designing, deploying, and maintaining AI-driven solutions while ensuring the reliability, scalability, and performance of digital platforms and services. The ideal candidate will work closely with Digital SRE engineers, data scientists, DevOps, and operations teams to deliver robust, efficient, and automated systems that support business goals.
Job Description
Summary:
The IS Technical Specialist provides technical and consultative support on the most complex technical matters. This role typically reports to the Head of Digital SRE and may involve on-call responsibilities. The position provides opportunities to work on cutting-edge AI solutions, collaborate with cross segment teams, and drive reliability for mission-critical digital services
Duties and Responsibilities:
  • Design, develop, and implement AI-driven systems and automation tools to enhance the reliability and efficiency of digital platforms.
  • Monitor the health, availability, and performance of AI-enabled applications and infrastructure using SRE best practices.
  • Collaborate with cross-functional teams to integrate machine learning models into production environments, ensuring seamless deployment and operation.
  • Establish and enforce service-level objectives (SLOs), error budgets, and incident response procedures for AI-driven services.
  • Identify, troubleshoot, and resolve complex incidents related to AI systems, leveraging observability and monitoring tools.
  • Drive continuous improvement by analyzing post-incident reviews, automating manual tasks, and optimizing system performance.
  • Stay up to date with advancements in AI, SRE, and cloud technologies, recommending innovative solutions to enhance digital reliability.
  • Document processes and runbooks for operational transparency and knowledge sharing.
  • AI Platform Integration: Develop abstraction layers across AI providers (Google, OpenAI, etc. ) to enable seamless integration and enablement.
  • Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
  • Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Basic Qualifications:
  • Bachelor's degree in computer science, Engineering, Data Science, or a related field and experience.
  • 5+ years Hands-on with AI/ML engineering, SRE, DevOps, or related roles.
    • Hands-on programming skills in Python, Java, or similar languages, with Hands-on with in developing and deploying machine learning models.
    • Hands-on with cloud platforms (e.g., AWS, GCP) and containerization technologies (Docker, Kubernetes).
    • Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident management platforms.
    • Solid understanding of SRE principles: monitoring, alerting, SLOs, error budgets, and automation.
    • Hands-on with infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines.

Preferred Qualifications:
  • Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced, collaborative environment.
  • Strong communication and documentation abilities
  • Experience operationalizing large language models (LLMs) or generative AI systems in production settings.
  • Background in MLOps, data engineering, and/or cloud-native AI deployment.
  • Knowledge of security best practices for AI and cloud infrastructure.
  • Contributions to open source AI/SRE projects or relevant technical communities

Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)
Yes
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Huntington is an Equal Opportunity Employer.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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