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Internship Ai Infrastructure Engineer Jobs in Utah

WorkBay

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

KēSTA I.T.

Principal DevOps Engineer

Salt Lake City, UT

$50.75 - $69.50/hr

We are seeking a technical leader with deep AWS and AI infrastructure expertise to join an enterprise technology organization as a Principal DevOps Engineer. This role plays a key part in ...

Atonom

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 ...

Atonom

AI Revenue Engineer

Provo, UT · On-site

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 ...

Atonom

AI Revenue Engineer

Provo, UT

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 ...

Weave

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 ...

Octanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

As programmers, researchers, designers, client professionals and craftspeople we create the tech, ... Cloud AI infrastructure management using AWS services and Terraform * AI observability experience ...

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

As programmers, researchers, designers, client professionals and craftspeople we create the tech, ... Cloud AI infrastructure management using AWS services and Terraform * AI observability experience ...

Wsgr

Senior AI Security Engineer

Salt Lake City, UT · On-site +1

$110K - $151K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and Operations, sits at the frontier of AI infrastructure and enterprise security - a rare opportunity to ...

LVT

Senior Data Engineer

American Fork, UT · On-site

$94K - $128K/yr

You'll lead cross-functional data initiatives, set engineering standards, and contribute to the data infrastructure that supports LVT's growing AI capabilities. This role is based in-office out of ...

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All JobsAi Infrastructure Engineer JobsInternship Ai Infrastructure Engineer JobsInternship Ai Infrastructure Engineer Jobs in Utah

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:

Internship Ai Infrastructure Engineer jobs near you

Data & Infrastructure Engineer

Draper, UT • On-site

WorkBay
11 - 50 employees
Learn more about WorkBayexternal

$107K - $128K/yr

Full-time

PTO

Re-posted 22 days ago

Job description

Company: WorkBay
Location: Salt Lake City, UT area | On-Site
Employment Type: Full-Time
Compensation: Based on experience


About WorkBay
WorkBay is the largest owner/operator of micro-bay industrial warehouse parks in the United 
States. Fully vertically integrated, we develop, acquire, and manage micro-bay properties across 
the country's top markets. We move fast, think strategically, and build systems that scale — and 
we're looking for an engineer who does the same.


Position Overview
We are seeking a skilled and motivated Data & Infrastructure Engineer to own and evolve the 
data platform that powers WorkBay's operations, analytics, and strategic decision-making. You 
will maintain and extend our data pipelines, API integrations, cloud deployments, and AI powered tools — ensuring the integrity, security, and reliability of our proprietary systems as we continue to scale.


Key Responsibilities

  • Maintain and extend scheduled data sync pipelines that pull from third-party APIs into our 
    PostgreSQL database
  • Monitor and troubleshoot cloud deployments across Vercel (serverless functions) and 
    Railway (container services), including uptime, logs, and performance
  • Build and manage API integrations — designing endpoints, handling authentication, and 
    ensuring reliability across internal and external services
  • Enforce data integrity standards including validation, cleansing, deduplication, and quality 
    assurance across complex multi-source data
  • Implement and maintain data security protocols to protect WorkBay's proprietary 
    information, including access controls and encryption
  • Support and extend our AI infrastructure, prompt configurations, evaluation suites, and cost 
    monitoring
  • Own database schema migrations, indexing, and query optimization in PostgreSQL
  • Manage version-controlled codebases using GitHub, including code reviews, CI/CD pipelines, 
    and deployment workflows
  • Collaborate with leadership to design data-driven tools and dashboards that support 
    operational decision-making
  • Document data architecture, runbooks, and processes to ensure organizational continuity


Qualifications

Required

  • 3–5 years of professional experience in data engineering, platform engineering, or a related 
    field
  • Strong proficiency in Python and SQL
  • Production experience with PostgreSQL (schema design, migrations, query optimization)
  • Experience building and consuming REST APIs
  • Proficiency with GitHub and modern version control workflows (branching, PRs, CI/CD)
  • Experience with serverless platforms (Vercel, AWS Lambda, Cloudflare Workers, or similar)
  • Comfort with Linux CLI, shell scripting, and remote server management
  • Strong problem-solving skills with the ability to work independently and manage multiple 
    priorities


Preferred

  • Exposure to AI/LLM architecture — understanding how large language models consume 
    data and how to structure pipelines that support AI-driven applications
  • Experience with container-based deployment platforms (e.g., Railway, Docker, Fly.io)
  • Experience with CRM integrations (e.g., Salesforce, HubSpot) or property management systems 
    (e.g., Yardi, MRI, RealPage)
  • Background in real estate, property management, or commercial real estate tech
  • Experience with ETL/ELT patterns and workflow orchestration (e.g., APScheduler, Airflow, 
    Dagster)
  • Familiarity with React/TypeScript (not required, but helpful for full-stack debugging)
  • Experience in a high-growth or scaling company environment


What We Offer

  • Competitive compensation based on experience
  • Generous PTO policy
  • Opportunity to own critical infrastructure at a fast-scaling company in commercial real estate
  • A lean, entrepreneurial environment where your work directly impacts company growth
  • Cutting-edge AI/ML workflows for real estate — you'll work with LLM APIs, prompt engineering, and AI-powered automation in a live business context


WorkBay is an equal opportunity employer. We celebrate diversity and are committed to 
creating an inclusive environment for all employees