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Internship Ai Infrastructure Engineer Jobs in Utah

Sr. Applied AI Engineer

Salt Lake City, UT ยท 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 ...

Sr. Applied AI Engineer

Salt Lake City, UT ยท 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 ...

Senior AI Security Engineer

Salt Lake City, UT ยท 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 ...

Senior Data Engineer

American Fork, UT ยท 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 ...

Sr. Data Engineer

Draper, UT ยท Hybrid

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design and manage cloud-based data and AI infrastructure (Databricks preferred), including ...

Lead Cloud Infrastructure Engineer II - Workplace Engineering/M365 AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid ...

Senior Data Engineer

American Fork, UT ยท On-site

$94K - $128K/yr

Contribute to AI data infrastructure--support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope. * Mentor junior engineers and build ...

Senior Data Engineer

American Fork, UT ยท On-site

$94K - $128K/yr

Contribute to AI data infrastructure-support RAG pipelines, vector storage, and Snowflake Cortex integrations as one component of the broader engineering scope. * Mentor junior engineers and build ...

... and AI infrastructure across data center, edge, and cloud. Our success has been built through ... Summary As a Customer Support Engineering team you will be regarded as a VAST Data technical expert ...

The spec, the harness, and the validation infrastructure are what engineers maintain. This is how we work at Bolo.ai. We're hiring engineers who already work this way, or who have the depth to start.

AI Engineer

Midvale, UT ยท On-site

Visa Sponsorship: This AI Engineer position is currently not eligible for employment visa ... Support and maintain AI pipelines and infrastructure to ensure optimal system performance ...

AI DevOps Engineer

Sandy, UT ยท On-site

$50.25 - $68.75/hr

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure.

Showing results 21-40

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:

Principal DevOps Engineer (Salt Lake City)

USANA Health Sciences

Salt Lake City, UT โ€ข On-site

$51.25 - $70.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Who We Are Looking For

We are looking for a technical leader with deep AWS and AI infrastructure expertise to join our team as a Principal DevOps Engineer. This role plays a key part in architecting and driving cloud and AI infrastructure strategy across AWS and private cloud environments, setting the platform standards that make Bedrock-backed agents, agentic workflows on AgentCore, and high-throughput LLM serving reliable, secure, and cost-efficient at enterprise scale.


What You Will Do as a USANA Principal DevOps Engineer

  • Architect and articulate cloud and AI platform strategies and solutions to both technical and non-technical stakeholders

  • Lead team members, manage work, and set technical direction for cloud infrastructure and AI platform practices

  • Collaborate with the Architect Owner and Enterprise Architect to define, design, and validate solutions architecture for platform and AI application workloads on AWS

  • Define platform standards for AI workload deployment, including model versioning, inference serving patterns, cost-per-inference governance, and AI API reliability

  • Administer Amazon EKS at enterprise scale, including multi-cluster federation and AI workload scheduling policies

  • Design observability strategies with Dynatrace, including service performance SLOs, cost dashboards, and incident response


Background and Skills You Will Need

  • 8+ years of experience in a DevOps, platform engineering, or cloud infrastructure role

  • 8+ years administering Amazon EKS or Kubernetes at enterprise scale

  • Skilled in scripting with Bash and Python, backed by 8+ years of hands-on experience

  • 8+ years managing CI/CD pipelines and GitOps workflows using tools like GitHub Actions, ArgoCD, or similar

  • 8+ years working with AWS services, including EC2, VPC, S3, EKS, IAM, CloudFront, ALB/NLB, and RDS

  • 8+ years designing Infrastructure as Code and cloud native architecture with Terraform and AWS CDK

  • 8+ years administering Linux systems

  • Proven mastery of AWS cloud and AI infrastructure, including Bedrock, AgentCore, and cloud-native architecture patterns

  • Strong experience with Dynatrace and enterprise observability strategy, including monitoring AI workloads

  • Well-versed in CIS, NIST, and SOX compliance frameworks and audit processes

  • Comfortable applying cloud native principles, Infrastructure as Code, and GitOps

  • Strong experience with centralized logging tools such as CloudWatch and Dynatrace

  • Strong networking experience, including AWS VPC, Transit Gateway, security groups, load balancing, and routing

  • Solid grasp of security governance and compliance for cloud and AI systems

  • Demonstrated ability to mentor and develop engineers at multiple levels

  • Experience deploying and operating agentic AI systems on AWS, including AgentCore and Bedrock Agents

  • Experience with service discovery tools such as AWS Cloud Map and Consul


What Will Make You Standout

  • Prior experience leading and mentoring engineers across DevOps, cloud, and AI platform disciplines


*Position is hybrid/in-office located in Salt Lake City.


Who We Are

Since 1992, USANA has put science first with our focus on in-house research and manufacturing based in Salt Lake City, Utah to drive the creation of supplements that give your body the exact nutrition it needs to thrive. It's why millions across the globe choose USANA as the nutritional provider for themselves and their loved ones. Today we are a billion-dollar company, thanks in part to more than 1,700 employees based around the world.


Our Culture

Excellence, Health, Integrity, and Community are core to our business. It is our commitment to always strive to be open-minded listeners, hold ourselves and others accountable, be respectful, and celebrate the strength that comes from collaboration. Through initiatives like our Inclusion and Belonging Council, we create a company culture where all members of the USANA family feel cared for, included, and valued.


USANA has repeatedly been named one of Utah's Best Companies to Work For by Utah Business magazine, one of America's Best Companies to Work For by Outside Magazine, one of the Best Places to Work for in the Direct Selling Industry by Direct Selling News, and named a top employer by Best of State.


What You Will Love About USANA

Our science backed mission to improve lives starts with you. With holistic wellness benefits, flexible work, and a culture built on care and connection, we help you thrive, so you can help others around the world do the same.



  • Health, Dental, Vision, Life and Disability Insurance

  • On-site medical and mental health clinic for you and your dependents

  • Flexible paid time off, including sick time, vacation, holidays, family hours, and floating holidays

  • Paid parental leave for both primary and secondary caregivers

  • 401k match and profit-sharing bonus

  • Chiropractor visits, massages, fitness classes, and full-service gym

  • Free and discounted USANA products

  • Tuition reimbursement, mentorship opportunities, and learning and development licenses


Learn more about working with us by visiting careers.usanainc.com


Security notice: USANA Health Sciences will never ask for sensitive personal information during the initial application process or via unsecure channels like email. If you receive such a request, please do not respond and report it to us directly.

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