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Internship Ai Infrastructure Engineer Jobs in Ohio

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Internship Ai Infrastructure Engineer information

What does an internship AI infrastructure engineer do?

An Internship AI Infrastructure Engineer assists in designing, developing, and maintaining the foundational systems that support artificial intelligence (AI) applications. They work with cloud platforms, data pipelines, and scalable computing resources to ensure that AI models can be trained and deployed efficiently. Interns may help automate workflows, optimize performance, and collaborate with data scientists and software engineers. The role provides hands-on experience with the tools and frameworks commonly used in AI engineering environments.

What types of projects and responsibilities can an internship AI infrastructure engineer expect to work on?

As an AI Infrastructure Engineer intern, you can expect to be involved in projects that support the development, deployment, and scaling of AI models. Typical responsibilities may include optimizing data pipelines, maintaining and improving cloud or on-premise computing resources, and collaborating closely with data scientists to ensure efficient model training and inference. Interns often get hands-on experience with tools such as Docker, Kubernetes, and various cloud platforms, and work in cross-functional teams to troubleshoot and enhance AI workflows. This role provides a solid foundation in both software engineering and AI operations, preparing you for advanced positions in the field.

What are the key skills and qualifications needed to thrive as an internship AI infrastructure engineer, and why are they important?

To thrive as an Internship AI Infrastructure Engineer, you need a solid understanding of computer science fundamentals, programming (especially in Python or C++), and basic knowledge of machine learning frameworks, often supported by ongoing studies in a relevant field. Familiarity with cloud platforms (like AWS, GCP, or Azure), version control systems (such as Git), and containerization tools (Docker, Kubernetes) is typically expected. Strong problem-solving abilities, curiosity, teamwork, and effective communication help interns stand out and integrate quickly into engineering teams. These skills are crucial for supporting scalable AI solutions, collaborating on complex projects, and contributing meaningfully in a fast-evolving technical environment.

What is the difference between Internship Ai Infrastructure Engineer vs Data Engineer?

AspectInternship Ai Infrastructure EngineerData Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Engineering, or related fields; some knowledge of AI and infrastructure toolsBachelor's or higher in Computer Science, Data Science, or related; experience with databases and data pipelines
Work EnvironmentInternship setting, collaborative teams, learning-focusedFull-time, technical teams managing data systems and pipelines
Employer & Industry UsageTech companies, AI startups, research labsTech firms, finance, healthcare, and other data-driven industries

The Internship Ai Infrastructure Engineer role focuses on supporting AI infrastructure projects during an internship, emphasizing learning and assisting with AI systems setup. In contrast, Data Engineers build and maintain data pipelines and infrastructure for data analysis. While both roles require knowledge of technical tools, the internship role is more entry-level and learning-oriented, whereas Data Engineers are more experienced and responsible for ongoing data management.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Ohio?

The most popular types of Ai Infrastructure Engineer jobs in Ohio are:

What are popular job titles related to Internship Ai Infrastructure Engineer jobs in Ohio?

For Internship Ai Infrastructure Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Internship Ai Infrastructure Engineer jobs in Ohio look for?

The top searched job categories for Internship Ai Infrastructure Engineer jobs in Ohio are:

What cities in Ohio are hiring for Internship Ai Infrastructure Engineer jobs?

Cities in Ohio with the most Internship Ai Infrastructure Engineer job openings:

Internship Ai Infrastructure Engineer jobs near you
Infographic showing various Internship Ai Infrastructure Engineer job openings in Ohio as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution.

Lead Infrastructure Engineer- Infrastructure Monitoring

JPMorgan Chase & Co.

Columbus, OH • On-site

$101K - $132K/yr

Full-time

Medical, Retirement

Re-posted 18 days ago

Key responsibilities

  • Engineer, operate, and continuously improve the firm's Infrastructure Monitoring platforms, ensuring availability, performance, scalability, and security.

  • Build and run enterprise-grade Infrastructure Monitoring capabilities across Linux, Windows, and complex Network estates, including platform-level onboarding and lifecycle management.

  • Design and implement platform services, integrations, and telemetry collection across metrics, logs, and events, including OpenTelemetry collection patterns where applicable.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description


We have an exciting opportunity for you to collaborate with passionate professionals, solve complex problems, and grow your career in a supportive, innovative environment.
As a Lead Infrastructure Engineer at JPMorgan Chase within Corporate Technology's Enterprise Observability Platforms, you will help build and operate a strategic, market-leading Infrastructure Monitoring platform that strengthens critical service resilience and delivers trusted operational insights. You will be a hands-on technical contributor on an high-performing agile team, building secure, stable, and scalable observability solutions-turning telemetry into actionable insights, modernizing event-to-incident workflows, enabling automation and AIOps-driven reliability improvements aligned to the firm's business objectives. Job responsibilities
  • Engineer, operate, and continuously improve the firm's Infrastructure Monitoring platforms, ensuring availability, performance, scalability, and security.
  • Build and run enterprise-grade Infrastructure Monitoring capabilities across Linux, Windows, and complex Network estates, including platform-level onboarding and lifecycle management.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Design and implement platform services, integrations, and telemetry collection across metrics, logs, events, including OpenTelemetry collection patterns where applicable.
  • Develop and maintain standardized onboarding patterns (agents/collectors, configurations, dashboards, alert policies) to accelerate safe adoption at scale.
  • Improve monitoring signal quality and usability through baselining, threshold strategy, noise reduction, enrichment, and topology/context alignment.
  • Develop secure, high-quality automation and production code; review, debug, and improve code/configuration written by others.
  • Automate platform operations and reduce toil through scripting and CI/CD-driven configuration management; implement infrastructure-as-code deployment patterns
  • Manage & maintain production health for the monitoring platform: lead triage, perform RCA, and deliver preventative engineering and resilience improvements.
  • Partner with infrastructure, application, and SRE teams to align platform capabilities to SLIs/SLOs, operational readiness, and continuous improvement goals.
  • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
    Required qualifications, capabilities, and skills
  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
  • Proficiency with enterprise operating systems (Linux and/or Windows), including administration, troubleshooting, performance analysis, and operational best practices within regulated production environments.
  • Proven hands-on experience delivering and operating enterprise-scale Infrastructure Monitoring solutions across Linux, Windows, and/or Network estates
  • Solid understanding and hands-on implementation of observability and telemetry concepts, including metrics, logs, and events, with experience using OpenTelemetry collection patterns and integrating telemetry into Downstream components
  • Proficiency in automation and engineering practices, including scripting and development with Python, Ansible, PowerShell / Bash, and applying CI/CD-driven workflows for controlled, secure, and repeatable change management. Experience developing, reviewing, debugging, and maintaining secure, high-quality production code and platform configurations, including automation supporting monitoring platforms and platform operations.
  • Well-rounded experience in infrastructure across hardware platforms, operating systems, networking, storage, and databases (MS SQL Server, Oracle, Cassandra), including common deployment patterns, integration architectures, scaling and resiliency considerations, and performance assessment.
  • Experience implementing Infrastructure-as-Code (IaC) and configuration management practices using tools such as Terraform, enabling standardized provisioning and scalable, repeatable deployments.
  • Hands-on experience operating in hybrid infrastructure environments, including enterprise on-prem platforms and public/private cloud, with familiarity supporting and migrating monitoring capabilities across cloud boundaries.
  • Demonstrated ability to improve monitoring signal quality through baselining, threshold strategy, noise reduction, enrichment, and topology/context alignment, supporting reliable event-to-incident workflows and operational insights.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
    Preferred qualifications, capabilities, and skills
  • Hands on experience operating one or more enterprise monitoring platforms such as SCOM, Tivoli, SMARTS, IBM Instana, DX NetOps, ITNM ,Netcool Suite
  • Experience with modern observability ecosystems such as Splunk, Dynatrace, Grafana, Prometheus and interoperability patterns for telemetry integration, routing and visualization.
  • Experience with Kubernetes (e.g., EKS) for container orchestration and operations.
  • Experience with topology-driven monitoring and correlation approaches for large-scale infrastructure environments.
  • Knowledge of Event Management & AIOps workflows (noise reduction, anomaly detection, probable cause analysis, guided remediation) with appropriate controls.

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.

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