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Ai Reliability Engineer Jobs in Ohio (NOW HIRING)

Lead Site Reliability Engineer

Columbus, OH

$55 - $73.25/hr

Lead SRE Job Code: SRES04 ⢠Grade: 603 Assume a critical role in defining the future of a ... Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident ...

Lead Site Reliability Engineer

Columbus, OH · On-site

$53.75 - $71.25/hr

As a Lead Site Reliability Engineer at JPMorgan Chase within the Corporate Technology Team, you ... Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident ...

Lead Site Reliability Engineer

Columbus, OH · On-site

$53.75 - $71.25/hr

As a Lead Site Reliability Engineer at JPMorgan Chase within the Corporate Technology Team, you ... Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident ...

$50.75 - $67.50/hr

You will own the reliability, scalability, and efficiency of shared services, CI/CD pipelines, and platform engineering initiatives via an AI first operating model. What You'll Do Infrastructure ...

Site Reliability Engineer II

Columbus, OH · On-site

$55 - $73.25/hr

Site Reliability Engineer II Relentless protection. Resilient world. Mimecast was born in 2003 with ... We expect engineers to be AI-first in how they approach their craft. What You'll Bring: * Hands-on ...

Site Reliability Engineer II

Columbus, OH · On-site

$55 - $73.25/hr

Site Reliability Engineer II Relentless protection. Resilient world. Mimecast was born in 2003 with ... We expect engineers to be AI-first in how they approach their craft. What You'll Bring: * Hands-on ...

Showing results 21-40

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 is an AI reliability engineer?

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:
Infographic showing various Ai Reliability Engineer job openings in Ohio as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Lead Site Reliability Engineer

J.P. Morgan

Columbus, OH

$55 - $73.25/hr

Full-time

Medical, Retirement

Posted 27 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION
Lead SRE

Job Code: SRES04  â¢  Grade: 603

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability. 
As a Lead Site Reliability Engineer at JPMorgan Chase within the Corporate Technology Team, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers. 

Job Responsibilities

  • Consistently models and champions site reliability culture and practices, documents and shares knowledge within your organization via internal forums and communities of practice
  • Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels, proactively identifying and solving technology-related bottlenecks in areas of expertise
  • Drives collaboration with your team to identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Serves as the main point of contact during major incidents for your application and has the skills to identify and solve the issue quickly to avoid financial loss to the business
  • Offers a high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers
  • Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. 

    Required qualifications, capabilities, and skills

  • A. Formal training or certification on site reliability engineering concepts and 5+ years applied experience ( NAMR/APAC - India/ LATAM/ Hong Kong) 
    B. Formal training or certification on site reliability engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) 
    C. Singapore follow local country guidance
  • Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices
  • Fluent in at least one programming language such as: Python, Java/Spring Boot, .Net
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
  • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.
  • Proficient knowledge and experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Proficient with continuous integration and continuous delivery practices and tooling
  • Proficient with container and container orchestration
  • Experience with troubleshooting common networking technologies and issues
  • Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, and actively self-educates to evaluate and recommend suitable new technologies 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.