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Ai Coding Jobs in Iowa (NOW HIRING)

Pwc

US Tech - AI Engineering Manager

Des Moines, IA

$73K - $244K/yr

... code of conduct, and independence requirements. The Opportunity As part of the People Tech & AI ... team you will lead the design, build, and operation of scalable, secure, and intelligent platforms ...

Pwc

CTIO AI Engineering Manager

Des Moines, IA · On-site

$73K - $244K/yr

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... Responsibilities - Work with cross-functional teams to incorporate AI into various applications ...

Pwc

ERP AI Engineer - Manager

Des Moines, IA · On-site

$99K - $232K/yr

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... This role offers the chance to shape AI solution architecture while driving innovation and ...

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Ai Coding information

See Iowa salary details

$12

$31

$51

How much do ai coding jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ai coding in Iowa is $31.02, according to ZipRecruiter salary data. Most workers in this role earn between $23.46 and $37.50 per hour, depending on experience, location, and employer.

Is coding a good career with AI?

Coding is a strong foundation for a career in AI, as it involves developing algorithms, models, and software solutions. Skills in programming languages like Python, machine learning frameworks, and data analysis are highly valued in AI roles, which are expected to grow as AI technology advances. Continuous learning and staying updated with new tools are important for success in this field.

How much does AI coding pay?

AI coding jobs typically offer salaries ranging from $80,000 to over $150,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced AI developers with expertise in machine learning and deep learning can earn higher salaries, especially in tech hubs or with specialized certifications.

What is an AI Coding job?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What are the key skills and qualifications needed to thrive in the Ai Coding position, and why are they important?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How much do AI coders earn?

AI coders, also known as AI software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python or TensorFlow tend to command higher salaries.

What are the typical daily responsibilities for someone working in AI Coding?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and expertise in tools like Python, TensorFlow, or PyTorch, and may require relevant certifications or advanced degrees.
What are the most commonly searched types of Ai Coding jobs in Iowa? The most popular types of Ai Coding jobs in Iowa are:
What are popular job titles related to Ai Coding jobs in Iowa? For Ai Coding jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Ai Coding jobs in Iowa look for? The top searched job categories for Ai Coding jobs in Iowa are:
What cities in Iowa are hiring for Ai Coding jobs? Cities in Iowa with the most Ai Coding job openings:
Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Iowa as of July 2026, with employment types broken down into 44% Full Time, 35% Part Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $64,512 per year, or $31 per hour.
AI & Automation Delivery Engineer- Hybrid Des Moines, Iowa

AI & Automation Delivery Engineer- Hybrid Des Moines, Iowa

American Enterprise Group, Inc.

Des Moines, IA • On-site

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Job description

Wellabe is hiring an AI & Automation Delivery Engineer to join our team. This role supports the AI & Automation Center of Excellence by building practical AI and automation solutions, prototypes, pilots, reusable components, and technical accelerators. This role works with business, technology, architecture, data, security, governance, and process improvement partners to deliver solutions that are secure, supportable, measurable, and aligned with enterprise standards. The role focuses on delivering immediate value while enabling distributed teams to reuse approved patterns and scale AI and automation responsibly.
Core Responsibilities
  • Build AI and Automation Solutions
    • Build, configure, test, and refine AI and automation solutions using approved platforms, patterns, workflows, agents, prompts, connectors, integrations, and reusable components.
    • Develop prototypes, pilots, proofs of value, and early production implementations with the AI & Automation Solution Architect, ensuring solutions are usable, secure, scalable, supportable, and aligned with approved designs.
  • Develop Prototypes and Pilots
    • Build lighthouse solutions and working examples that demonstrate practical AI and automation use cases and can be showcased, reused, replicated, or extended across the enterprise.
    • Validate feasibility, user experience, integration needs, data dependencies, platform fit, risks, and production readiness through rapid experimentation, documentation, and lessons learned.
  • Create Reusable Technical Assets
    • Develop reusable automation patterns, workflow templates, prompt examples, connectors, scripts, configuration guides, sample solutions, and technical accelerators.
    • Contribute to CoE playbooks, implementation guides, checklists, readiness materials, and asset libraries that help teams build faster, reduce duplication, and improve enterprise consistency.
  • Deliver AI and Automation Use Cases
    • Partner with business teams, process improvement teams, and product owners to define use case goals, workflow impacts, user needs, success criteria, requirements, technical gaps, and practical implementation plans.
    • Support implementation from intake through design, build, testing, deployment readiness, adoption, measurement, scale, and production handoff.
  • Partner on Solution Architecture
    • Partner with the AI & Automation Solution Architect to convert approved patterns into working implementations, validate design assumptions, and provide feedback on complexity, platform limitations, reusable components, security, scalability, and supportability.
    • Contribute to design documentation, technical standards, configuration guidance, implementation playbooks, and repeatable delivery practices.
  • Support Responsible AI and Governance
    • Build solutions aligned with enterprise architecture, responsible AI expectations, information security, data protection, governance, approved tools, and review requirements.
    • Identify, document, and help mitigate risks related to data sensitivity, access controls, prompt behavior, model limitations, integrations, controls, monitoring, auditability, and human-in-the-loop review.
  • Prepare for Production
    • Prepare solutions for production by documenting ownership, support model, configuration details, data dependencies, monitoring needs, controls, operational procedures, and knowledge transfer materials.
    • Support testing, user acceptance, defect resolution, deployment readiness, pilot-to-production transition, and continuous improvement based on feedback, usage data, performance results, and lessons learned.
  • Enable Distributed Teams
    • Provide hands-on technical support, coaching, demos, examples, office hours, learning sessions, and community support to help teams adopt approved AI and automation patterns and platforms.
    • Help teams select appropriate solution approaches while reinforcing a federated delivery model that builds capability and reduces dependency on the CoE.
  • Track Delivery Value
    • Track progress, risks, dependencies, reusable assets, implemented automations, lessons learned, benefits realized, adoption, usage, efficiency gains, quality improvements, and other business outcomes.
    • Use value examples, delivery metrics, and stakeholder feedback to improve build practices, reusable components, and implementation guidance.
Qualifications
  • Ability to translate business requirements and solution designs into practical working solutions in partnership with business, product, process improvement, technology, security, data, compliance, risk, and governance teams.
  • Familiarity with AI, generative AI, automation, low-code/no-code tools, RPA, workflow platforms, APIs, data services, testing, documentation, deployment readiness, supportability, security-by-design, and operational handoff.
  • Familiarity with responsible AI, prompt engineering, retrieval-augmented generation, document intelligence, process mining, workflow orchestration, data privacy, security controls, auditability, monitoring, and production support concepts.
  • Skill at hands on delivery and the ability to build practical AI and automation solutions that demonstrate measurable business value.
  • Problem solving skills and the ability to troubleshoot implementation challenges and identify practical paths forward.
  • Automation mindset and the ability to identify opportunities to reduce manual work, improve speed, reduce errors, and increase consistency through automation.
  • Knowledge of reuse, scalability, supportability, and maintainability principles when building AI and automation solutions.
  • Ability to convert business needs and solution designs into practical working capabilities.
  • Knowledge of security, privacy, risk, governance, and responsible AI expectations during solution build and deployment.
  • Ability to move work from idea to prototype, pilot, and production readiness with appropriate delivery discipline.
  • Strong collaboration skills to effectively partner with business, technology, architecture, data, security, risk, compliance, and operations teams.
  • Strong continuous improvement skills and ability to use feedback, lessons learned, and usage data to improve solutions, reusable assets, and delivery practices.
  • 3+ years of experience in application development, automation, workflow configuration, systems integration, low-code/no-code development, digital transformation, or related technology delivery required.
  • Experience building or configuring business applications, workflow automations, integrations, scripts, dashboards, forms, approval processes, or productivity solutions required.
  • Experience with Microsoft AI, automation, and low-code/no-code platforms such as Microsoft Copilot, Copilot Studio, Power Platform, Power Automate, Power Apps, AI Builder, Azure AI, Azure Logic Apps, or related tools preferred.
  • Experience developing reusable templates, connectors, workflow patterns, prompt libraries, technical accelerators, pilots, proofs of value, demos, or solution showcase preferred.
  • Experience in insurance, financial services, healthcare, or another regulated industry strongly preferred.
Education
  • Bachelor's degree in information technology, computer science, engineering, business systems, analytics, or a related field required; equivalent experience considered.
  • Additional coursework, certification, or continued learning in AI, automation, low-code/no-code development, systems integration, data/analytics, Agile, DevOps, Lean, Six Sigma, design thinking, or continuous improvement preferred.
Benefits
  • Hybrid availability
  • 401(k) with company match
  • Health insurance
  • Paid time off, holidays
  • Volunteer time off
  • Lifestyle Spending Account (LSA)
  • Paternity leave
Growth opportunities
We believe each of us has potential to grow and adapt with our business. We take your career as seriously as you do. Helping you develop your skills and talents leads to opportunities - not only for you, but also for our company. That's why we provide:
  • LinkedIn Learning Premium access
  • CliftonStrengths® assessment and coaching
  • On-site and virtual workshops and cohorts featuring world-class content from FranklinCovey, Crucial Learning, Gallup, and more
  • Free world-class insurance acumen courses through AHIP and LOMA
  • Reimbursement and bonus opportunities for professional designations and certifications, including a tuition reimbursement program
  • Opportunities to take part in Wellabe's mentorship programs
About Wellabe
Since 1929, Wellabe has been finding solutions to help our customers protect their health and financial well-being. And we're committed to fostering an internal culture of inclusivity, well-being, and development so each of our team members can succeed. Learn more about Wellabe's culture of betterment by visiting wellabe.com/culture.
Wellabe is full of smart, caring, hard-working people with a broad range of talents who understand collaboration is key. We bring our best selves every day, to connect with others to solve problems, spark innovation, and bring ideas to life. Meet the team and learn what makes Wellabe a great place to work by visiting wellabe.com/news/employee-spotlights.
Our core values:
  • Be dedicated: Show unwavering commitment by proactively taking initiative, setting clear goals, and managing time effectively.
  • Be trustworthy: Take accountability for actions, navigate difficult conversations with integrity, and build strong relationships through consistent, honest behavior.
  • Be determined: Demonstrate enthusiasm and a relentless drive to overcome obstacles and achieve goals.
  • Be collaborative: Foster teamwork by being self-aware, actively listening, and effectively communicating across all levels.
  • Be open: Embrace diversity and new ideas to create an inclusive environment.
  • Be generous: Embody generosity and compassion by serving a greater purpose and helping others.
  • Be better: Commit to continuous improvement and adapt effectively to change.
  • Be well: Prioritize physical and mental health, manage stress, and demonstrate emotional intelligence.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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