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Ai Infrastructure Jobs in Wisconsin (NOW HIRING)

Bitdeer Group

WI · On-site

$100 - $130/hr

About the Role Architecting, deploying, and maintaining the infrastructure required for large-scale AI compute environments in a high-density AI data center. What You Will Be Responsible For * Deploy ...

Accenture

AI & HPC Infrastructure Engineer

Milwaukee, WI · On-site

$105K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

New

Ultimus Fund Solutions

Senior AI Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Oversee the development and deployment of robust AI infrastructure leveraging enterprise data lakes and cloud platforms * Lead technical initiatives to integrate AI capabilities into existing legacy ...

Xenon7

WI · On-site

$120 - $180/hr

Operating entirely within our secure, high-performance on-premises infrastructure , you will act as ... Predictive AI Threat Modeling: Lead advanced threat-modeling exercises across the bank's localized ...

KBR

Senior Director of Business Development

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Execute KBR's Americas Power, Data Center and AI Infrastructure growth strategy. * Identify emerging market trends, customer investment plans, and infrastructure requirements driving data center ...

ThisWay

WI · On-site

$100 - $140/hr

AI, Infrastructure & Public-Sector Partnerships Location: Remote - Texas, United States Department: Operations Exemption/Classification: Flexible (Fractional/1099/W-2 to Start) Overview ThisWay ...

Deloitte

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 ...

Fuse Energy, LLC

WI · On-site

$100 - $130/hr

As AI drives unprecedented demand for power and data center capacity, the bottleneck is no longer chips - it is energy, grid infrastructure, and the ability to deliver new capacity at speed. We are ...

Multicoin

WI · On-site

$100 - $140/hr

As AI drives unprecedented demand for power and data center capacity, the bottleneck is no longer chips - it is energy, grid infrastructure, and the ability to deliver new capacity at speed. We are ...

Socket.dev

WI · On-site

$172 - $202.50/hr

  • Retirement

  • PTO

Demonstrate knowledge/experience of Platform engineering, platform operating model, DevOps, technical debt, AI infrastructure, geopatriation and cloud to CIO audiences * Analyze industry trends ...

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Ai Infrastructure information

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$28

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How much do ai infrastructure jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai infrastructure in Wisconsin is $59.74, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $69.62 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

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

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

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

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

What cities in Wisconsin are hiring for Ai Infrastructure jobs?

Cities in Wisconsin with the most Ai Infrastructure job openings:

Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,255 per year, or $59.7 per hour.

AI infrastructure Engineer - Norway

Bitdeer Group

WI • On-site

$100 - $130/hr

Other

Posted 13 days ago

Job description

About Bitdeer

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

About the Role

Architecting, deploying, and maintaining the infrastructure required for large-scale AI compute environments in a high-density AI data center.

What You Will Be Responsible For
  • Deploy and manage large-scale GPU clusters using orchestration platforms such as Kubernetes or Slurm
  • Optimize high-speed, low-latency networking (e.g., InfiniBand, RoCE v2) for distributed compute
  • Work closely with Project teams and operations to plan and monitor rack density across AI infrastructure
  • Implement and maintain high-throughput storage systems (e.g., Lustre, BeeGFS, WekaIO) supporting GPU-intensive workloads
  • Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools such as Terraform or Ansible
  • Troubleshoot and optimize performance across compute, networking, and storage infrastructure in a mission-critical environment
  • This role ensures stable, scalable, and high-performance infrastructure supporting next-generation AI compute operation.
How You Will Stand Out
  • Degree in Computer Science, Data Engineering, or related technical field (Master’s preferred)
  • Strong experience with Linux administration, containerization, and GPU infrastructure
  • Experience with orchestration and workload management platforms such as Kubernetes or Slurm
  • Familiarity with the NVIDIA infrastructure stack (CUDA, NCCL, Triton Inference Server)
  • Deep understanding of NVIDIA GB300 and VR NVL72 Scalable Units’ functionality
  • Experience working in HPC, AI infrastructure, or large-scale distributed compute environments
  • Experience with InfiniBand, RoCE v2, or high-performance networking architectures
  • Familiarity with AI-focused storage platforms such as Lustre, BeeGFS, or WekaIO
  • Experience with Terraform, Ansible, or other IaC frameworks
  • NVIDIA, Kubernetes, or cloud infrastructure certifications

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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