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Internship Ai Infrastructure Engineer Jobs in Utah

Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to ... Infrastructure Engineer to design, build, and maintain the enterprise infrastructure that runs ...

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Support and extend our AI infrastructure, prompt configurations, evaluation suites, and cost ... engineering, platform engineering, or a related field * Strong proficiency in Python and SQL

AI Revenue Engineer

Provo, UT · On-site

$60K - $90K/yr

Join us as we build the infrastructure for the next generation of work. Role This is not a ... You have up to 2 years of experience or relevant internships. * AI-forward: You already build with ...

Join us as we build the infrastructure for the next generation of work. Role This is not a ... You have up to 2 years of experience or relevant internships. * AI-forward: You already build with ...

Join us as we build the infrastructure for the next generation of work. Role This is not a ... You have up to 2 years of experience or relevant internships. * AI-forward: You already build with ...

Sr AI Security Engineer

Layton, UT · On-site

$120 - $194/hr

The Sr AI Security Engineer applies expertise across the Cyber Security discipline by demonstrating competency in IT Infrastructure and Application Development. The ideal candidate has a strong ...

Sr. Platform Engineer - Data Infrastructure

Lehi, UT · On-site

$101K - $138K/yr

Many of the core Weave products/features (auto scheduling, AI/ML, real-time notifications, etc ... Engineering Manager What You Will Own * Design and Develop core data platform components for ...

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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 popular job titles related to Internship Ai Infrastructure Engineer jobs in Utah?

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

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

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

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

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

Senior Infrastructure Engineer

Webhosting

Lehi, UT • On-site

$120 - $160/hr

Other

Posted 16 days ago


Job description

DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com

Job summary

We are looking for a Senior Infrastructure Engineer to design, build, and maintain the enterprise infrastructure that runs across our multi-region datacenter footprint. In this role, you will own our infrastructure-as-code automation, virtualization platforms, and storage systems, balancing hands-on physical infrastructure with modern DevOps practices. Most of your work is remote, with scheduled in-office days for collaboration and hardware integration testing.

What you will do

Key Responsibilities

  • Infrastructure Automation:Design and maintain IaC solutions using Terraform, Ansible, or SaltStack for configuration management and deployment standardization across 5+ datacenters.
  • Hypervisor Management:Administer vCenter environments and Nutanix AHV clusters; optimize resource allocation, performance tuning, and high-availability configurations.
  • Storage Engineering:Manage the Nutanix storage fabric, monitoring, and capacity planning; optimize IOPS, latency, and replication strategies.
  • Datacenter Operations:Lead hardware procurement, specification, and installation during refresh cycles; maintain asset inventory and power/cooling optimization.
  • Monitoring & Observability:Build Splunk dashboards, field extractors, and alerting rules for infrastructure metrics; troubleshoot performance issues through log analysis.
  • CI/CD Integration:Partner with development teams on GitHub-based infrastructure repositories; implement automated testing and rollback procedures for infrastructure changes.
  • Compliance & Security:Implement hardening standards and vulnerability remediation (CVE patching through patching pipelines), and uphold security best practices across all systems.
  • On-Call Rotation:Share in the team on-call rotation, including days, nights, weekends, and holidays.

What you will have

Required Skills & Experience

  • 5+ yearsof hands-on infrastructure engineering (hypervisors, storage, networking).
  • 3+ yearsof IaC with Terraform, Ansible, or CloudFormation.
  • Deep expertisein VMware vSphere (vCenter administration, ESXi tuning) and Nutanix AHV (deployment, cluster management).
  • NetApp storageadministration (data protection, replication, capacity management).
  • Splunkproficiency: dashboard development, field extraction, SPL optimization, and alerting.
  • GitHubworkflow: branching strategies, pull requests, and CI/CD pipeline integration.
  • Linux/Windowssystem administration and troubleshooting.
  • Physical infrastructure:comfortable with hardware installation, cabling, and IPMI/iLO management.
  • Able to travelto our datacenters for deployments, maintenance, and hardware refresh cycles – usually quarterly, and sometimes on shorter notice as needs come up.

Preferred Qualifications

  • 2 days/week on-sitein our Lehi office for collaborative planning, hardware testing, and team meetings
  • 3 days/week remotefor coding, monitoring, documentation, and async collaboration

DigiCert is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, DigiCert prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified person with disabilities, and protected veterans are strongly encouraged to apply.

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