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Ai Platform Engineer Jobs in Iowa (NOW HIRING)

Wellmark, Inc.

Platform Engineer

Des Moines, IA · On-site

As a Platform Engineer supporting the Health Services teams, you will play a key leadership role in ... While supporting responsible adoption of automation, AI, and low-code capabilities, your primary ...

Berkley

AI Technology Leader

Urbandale, IA · On-site

Ensure alignment with enterprise architecture, cloud strategy, and data platform capabilities. 3. Team Leadership * Lead a small, high-impact team of AI engineers and product managers responsible for ...

Berkley

AI Technology Leader

Urbandale, IA

Ensure alignment with enterprise architecture, cloud strategy, and data platform capabilities. 3. Team Leadership * Lead a small, high-impact team of AI engineers and product managers responsible for ...

Berkley

AI Technology Leader

Urbandale, IA · On-site

Ensure alignment with enterprise architecture, cloud strategy, and data platform capabilities. 3. Team Leadership * Lead a small, high-impact team of AI engineers and product managers responsible for ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Iowa

Ai Platform Engineer information

See Iowa salary details

$31

$60

$89

How much do ai platform engineer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for ai platform engineer in Iowa is $60.07, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $69.33 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

AI Platform Engineers are likely to continue to be in demand as they develop, deploy, and maintain AI systems, requiring skills in machine learning, cloud computing, and programming. Jobs that involve complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled trades—are also expected to persist despite AI advancements. These roles often require human judgment and interpersonal skills that AI cannot easily replicate.

What are AI Platform Engineers?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model deployment, monitoring, and optimization in production environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI Platform Engineer or senior AI researcher, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, cloud platforms, and extensive experience, and are usually found in leading tech companies or AI-focused organizations.

What engineer makes $500,000 a year?

Senior AI Platform Engineers or Machine Learning Engineers with extensive experience, advanced skills in cloud computing, and expertise in AI tools can earn salaries around or above $500,000 annually, especially in high-demand industries or companies. Such roles often require strong programming, data management, and system architecture knowledge, along with relevant certifications and a track record of successful projects.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Iowa? For Ai Platform Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Iowa look for? The top searched job categories for Ai Platform Engineer jobs in Iowa are:
What cities in Iowa are hiring for Ai Platform Engineer jobs? Cities in Iowa with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Iowa as of July 2026, with employment types broken down into 68% Full Time, 23% Part Time, and 9% Contract. Highlights an 58% Physical, 4% Hybrid, and 38% Remote job distribution, with an average salary of $124,947 per year, or $60.1 per hour.

Senior AWS Platform Engineer

Professional Project Partners, Inc

West Des Moines, IA • On-site

$70 - $80/hr

Other

Posted 23 days ago

Job description

Job Description Want to help build the next generation of AI-powered software development. Our client, a leading financial services organization, is seeking a Senior AWS Platform Engineer to play a key role in building an internal AI engineering platform that will transform how software is developed across the enterprise. This is a hands-on engineering opportunity focused on modernizing cloud automation, developer tooling, and infrastructure.

You'll help migrate an existing library of AI engineering workflows from Azure to AWS, enabling developers to leverage AI-powered coding assistants within a secure, scalable cloud-native environment. If you're passionate about AWS, DevOps, Infrastructure as Code, and AI-assisted software engineering, this is an opportunity to work on a highly visible initiative using cutting-edge technologies. What You'll Do As a senior member of the platform engineering team, you'll help build the cloud foundation that powers AI-enabled software development.

Responsibilities include: Migrate cloud automation, deployment workflows, and engineering playbooks from Azure to AWS. Design and implement reusable CI/CD pipelines using GitHub Actions. Build and maintain container deployment workflows using Amazon ECS on Fargate.

Configure AWS services including IAM, ECR, Secrets Manager, Systems Manager, CloudWatch, VPC networking, and related platform services. Develop and maintain Infrastructure as Code using Terraform. Configure secure authentication using OIDC, IAM roles, and modern identity management practices.

Adapt developer tooling and automation for cloud-based development workspaces. Partner with platform engineers to validate, optimize, and improve reusable engineering workflows. Leverage AI coding assistants to accelerate development while ensuring quality through thorough testing and technical review.

Create technical documentation and knowledge transfer materials to support long-term platform adoption. Required Technical Experience Senior-level experience building and supporting AWS cloud infrastructure. Strong knowledge of AWS services including ECS/Fargate, IAM, ECR, CloudWatch, Secrets Manager, SSM, VPC networking, and S3.

Advanced Terraform experience, including reusable modules and infrastructure migrations. Hands-on experience building CI/CD pipelines with GitHub Actions. Experience deploying containerized applications using Docker.

Strong scripting skills with Bash and Python. Experience working with Git and GitHub Enterprise. Ability to understand existing Azure implementations and successfully migrate them to AWS.

Preferred Qualifications Experience using AI-powered development tools such as Claude Code, GitHub Copilot, or similar coding assistants. Experience with cloud-based developer environments such as Coder, GitHub Codespaces, or Dev Containers. Familiarity with AWS CDK, AWS Blocks, or similar infrastructure frameworks.

Knowledge of Microsoft Entra ID, Azure AD, or OIDC-based identity federation. Experience with data platforms such as Snowflake, Amazon Redshift, or AWS Glue. Background in financial services, insurance, or another regulated industry.

Why You'll Love This Opportunity Help build an enterprise AI platform that will shape the future of software development. Work with cutting-edge AI engineering tools and modern AWS technologies. Solve complex cloud architecture and platform engineering challenges.

Influence engineering standards, developer experience, and automation strategy. Collaborate with highly skilled cloud engineers on a high-impact enterprise initiative. Opportunity to work at the intersection of AI, DevOps, cloud infrastructure, and platform engineering.

If you're excited about building modern AWS platforms, enabling AI-powered software development, and creating reusable engineering solutions at enterprise scale, we'd love to connect.

Apply