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Ai Infrastructure Jobs in Iowa (NOW HIRING)

Develop scalable and robust AI infrastructures. * Stay up-to-date with the latest AI trends and technologies. * Collaborate with cross-functional teams to understand needs and devise AI solutions.

Develop scalable and robust AI infrastructures. * Stay up-to-date with the latest AI trends and technologies. * Collaborate with cross-functional teams to understand needs and devise AI solutions.

Develop scalable and robust AI infrastructures. * Stay up-to-date with the latest AI trends and technologies. * Collaborate with cross-functional teams to understand needs and devise AI solutions.

Develop scalable and robust AI infrastructures. * Stay up-to-date with the latest AI trends and technologies. * Collaborate with cross-functional teams to understand needs and devise AI solutions.

Through industry-leading Linux, Kubernetes, Edge and AI infrastructure solutions, SUSE delivers the flexibility to innovate everywhere-from the data center to multi-cloud and out to the edge. Only ...

AI Engineer

Waukee, IA · On-site

$110 - $160/hr

Collaborate with developers, analysts, data teams, infrastructure teams, and security stakeholders to deliver effective and compliant AI solutions.* Conduct testing, troubleshooting, and continuous ...

AI Engineer

Waukee, IA · On-site

$120 - $180/hr

Collaborate with developers, analysts, data teams, infrastructure teams, and security stakeholders to deliver effective and compliant AI solutions.* Conduct testing, troubleshooting, and continuous ...

Showing results 21-40

Ai Infrastructure information

See Iowa salary details

$26

$55

$81

How much do ai infrastructure jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai infrastructure in Iowa is $55.59, according to ZipRecruiter salary data. Most workers in this role earn between $45.14 and $64.81 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 Iowa?

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

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

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

What cities in Iowa are hiring for Ai Infrastructure jobs?

Cities in Iowa with the most Ai Infrastructure job openings:

Infographic showing various Ai Infrastructure job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $115,627 per year, or $55.6 per hour.

AI Software Engineer

Cottingham & Butler

Dubuque, IA • On-site

Full-time

Re-posted 16 days ago


Cottingham & Butler rating

8.6

Company rating: 8.6 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

94th of 315 rated insurance


Job description

Cottingham & Butler is seeking a highly motivated Software Engineer with deep AI expertise to join our IT team. This role is central to our mission of transforming how we deliver brokerage, claims, and client service experiences by harnessing artificial intelligence. You will design, build, and deploy AI-powered systems and tools that streamline operations, enhance decision-making, and unlock new levels of productivity across the enterprise.

This is a foundational hire for our AI capability and will work directly with business and technology leaders to identify, prototype, and scale AI solutions that matter.

Key Responsibilities

  • Design and develop AI-augmented tools and workflows.
  • Architect intelligent agents to access insights and automate tasks.
  • Integrate AI models into software applications to solve business-related problems.
  • Develop scalable and robust AI infrastructures.
  • Stay up-to-date with the latest AI trends and technologies.
  • Collaborate with cross-functional teams to understand needs and devise AI solutions.
  • Ensure ethical guidelines and standards are maintained in AI developments.

Skills & Qualifications

  • Proficiency in programming languages like Python, Java, or R.
  • Strong understanding of machine learning algorithms and AI principles.
  • Experience with AI frameworks such as TensorFlow or PyTorch.
  • Hands-on experience integrating with OpenAI, Claude, Google Vertex AI, or similar platforms.
  • Ability to work collaboratively in a team environment.
  • Curiosity, problem-solving skills, and attention to detail

Why Join Us?

  • Innovative Environment: Our programmers enjoy the latitude to explore and implement creative solutions.
  • Career Growth: This role offers significant opportunities to learn, get involved and grow your career.
  • Supportive Leadership: Our management team values and encourages the creativity and innovation that our engineers bring to the table.

About Cottingham & Butler:

At Cottingham & Butler, we sell a promise to help our clients through life's toughest moments. To deliver on that promise, we aim to hire, train, and grow the best professionals in the industry. We look for people with an insatiable desire to succeed, are committed to growing, and thrive on challenges. Our culture is guided by the theme of "better every day" constantly pushing ourselves to be better than yesterday – that's who we are and what we believe in.

As an organization, we are tremendously optimistic about the future and have incredibly high expectations for our people and our performance. Our ability to grow as a company, fuels investments in new resources to better serve our clients and provide the amazing career opportunities our employees want and deserve. This is why we are a growth company and why we are committed to being better every day. 

Want to learn more? Follow us on www.CottinghamButler.com | LinkedIn | Facebook


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