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Internship Ai Infrastructure Engineer Jobs in Wisconsin

WI · On-site

$98 - $139/hr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... infrastructure they run on. To be clear about the shape of this role: you're a backend engineer ...

New

WI · On-site

$120 - $160/hr

We need someone who's been an early‑stage engineer at a startup that scaled and has gone deep on AI infrastructure in the last 2‑3 years. Requirements * 10+ years of experience in full stack ...

New

WI · On-site

$100 - $130/hr

Architect the AI infrastructure -- model orchestration, evaluation, prompt engineering, and feedback loops -- to ensure reliability at scale. * Collaborate closely with product and backend engineers ...

New

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$103K - $141K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ... Collaborate with front-end developers or build user-facing components using React, TypeScript.

WI · On-site

$100 - $130/hr

This is a highly technical role for someone who understands both infrastructure development and engineering. You will help build the infrastructure that enables the next generation of AI.

WI · On-site

$100 - $140/hr

This is a highly technical role for someone who understands both infrastructure development and engineering. You will help build the infrastructure that enables the next generation of AI.

WI · On-site

$198 - $368/hr

Partner with Security Engineering and Architecture to define standards for securing AI infrastructure and ensuring it can be effectively monitored and defended. * Track emerging offensive AI ...

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 the most commonly searched types of Ai Infrastructure Engineer jobs in Wisconsin?

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

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

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

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

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

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

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

Sr Cloud Infrastructure & Platform Engineer

Sony Interactive Entertainment (SIE)

Madison, WI

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Build the Cloud Foundation Behind Sony Interactive Entertainment

Every day, engineering teams across Sony Interactive Entertainment rely on the platforms we build to deliver secure, resilient, and scalable services. IT Cloud Foundations engineers the cloud capabilities that power enterprise business systems, developer platforms, and data services across the company.

Our customers are both engineers and the businesses they support. Every improvement we make to automation, reliability, security, and cloud infrastructure directly accelerates engineering teams while improving the reliability of critical business services.

The solutions we build become reusable capabilities that scale across the enterprise-not just for a single application or project.

Our mission isn't simply to manage cloud infrastructure-it's to engineer the secure, scalable cloud platform that enables Sony Interactive Entertainment to operate, innovate, and grow.

Lead Meaningful Engineering

As a Senior Cloud Infrastructure & Platform Engineer, you'll lead some of our most important cloud initiatives from design through production.

You'll combine deep technical expertise with sound engineering judgment to design and deliver secure, resilient, and scalable cloud capabilities supporting business-critical services across Sony Interactive Entertainment.

This is a hands-on engineering role where you'll partner with Networking, Security, Identity, Database, Platform, Data, and Application Engineering teams to solve complex infrastructure challenges, mentor fellow engineers, and continuously improve how cloud services are delivered.

Whether you're designing reusable Terraform modules, expanding Kubernetes platforms, improving observability, or automating operational processes, your work will help shape the shared engineering platform that teams rely on every day.

The Challenges You'll Help Us Solve
  • How can we deliver complex infrastructure requests while continuously improving the platform for the next request?
  • How can we raise the quality of automation, observability, Kubernetes, networking, and governance across the enterprise?
  • How can we strengthen engineering partnerships while delivering business-critical cloud capabilities?
  • How can emerging technologies-including AI-improve automation, troubleshooting, documentation, and developer productivity where they create measurable value?
What You'll Work On
  • Lead complex AWS infrastructure and platform initiatives from architecture through production.
  • Design reusable infrastructure, automation, and platform capabilities that strengthen the shared cloud platform.
  • Advance Kubernetes/EKS, observability, governance, CI/CD, networking, and automation capabilities.
  • Partner across engineering organizations to deliver secure, scalable solutions for business-critical services.
  • Mentor engineers through design reviews, implementation guidance, troubleshooting, and knowledge sharing.
  • Evaluate AI-assisted engineering capabilities where they improve automation, operational efficiency, documentation, or delivery quality.
How We Engineer
  • Build cloud infrastructure that is secure, resilient, automated, and designed to evolve with the business.
  • Automate first whenever a pattern is repeatable.
  • Build security and governance into every solution.
  • Partner across engineering organizations to deliver better outcomes.
  • Continuously improve the platform through practical, measurable engineering.
  • Use AI where it meaningfully improves engineering outcomes.
Technology You'll Work With

AWS Terraform Kubernetes/EKS Helm Python GitHub Actions GitOps Lambda IAM Route 53 Transit Gateway CloudWatch Datadog Prometheus Grafana Cloud Custodian

Qualifications
  • Bachelor's degree or equivalent in Computer Science, Information Technology, Engineering, or related discipline
  • Strong hands-on experience designing and operating AWS-based cloud infrastructure.
  • Experience with Infrastructure as Code, Kubernetes, automation, and CI/CD.
  • Strong communication, collaboration, and problem-solving skills.
  • AWS certifications.
Required Experience
  • Proven experience designing, implementing, and supporting AWS cloud infrastructure.
  • Hands-on experience with IaC and Terraform.
  • Experience deploying, administering, and troubleshooting Kubernetes platforms.
  • Strong automation experience using Python and/or Bash.
  • Experience designing CI/CD pipelines for infrastructure and application delivery.
  • Strong understanding of AWS networking including VPCs, subnets, routing, security groups, VPNs, and load balancing.
  • Experience building secure, highly available, resilient cloud environments.
  • Strong troubleshooting across compute, storage, networking, and platform services.
  • Experience with CloudWatch, Datadog, Splunk, Prometheus, and/or Grafana.
  • Experience with Git-based source control and collaborative engineering practices.
  • Experience administering Linux systems in cloud environments.
  • Knowledge of IAM, encryption, secrets management, logging, and cloud security best practices.
  • Experience monitoring, optimizing, and operating cloud infrastructure for performance, reliability, scalability, and cost efficiency.
You'll Be Successful Here If You...
  • Enjoy leading complex technical initiatives from idea to production.
  • Naturally look for opportunities to simplify, automate, and improve.
  • Build strong partnerships across engineering organizations.
  • Mentor others by sharing knowledge and raising engineering quality.
  • Balance technical excellence with practical business outcomes.
  • Embrace emerging technologies-including AI-when they create meaningful value.
Technology Evolves. So Do We.

We value curiosity, ownership, continuous learning, and engineers who continually challenge themselves-and us-to build better platforms, automate intelligently, and raise the standard for cloud engineering.

Join us in building the cloud foundation that enables Sony Interactive Entertainment to operate, innovate, and scale securely.


At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Clickhere to learn more.

The estimated base pay range for this role is listed below.
$161,100-$241,700 USD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to ourCandidate Privacy Noticefor more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.