1

Ai Coder Jobs in Iowa (NOW HIRING)

Google Agentic AI Delivery Specialist

Des Moines, IA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... of code as you are in the language of customer outcomes. You don't just build solutions; you ... As a GCP Agentic AI Delivery Engineer, you will be a technical and product-centric engineer in ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

Pharmacovigilance Expert

Des Moines, IA ยท Remote

$70 - $80/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

Pharmacovigilance Expert

Davenport, IA ยท Remote

$70 - $80/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

Pharmacovigilance Expert

Davenport, IA ยท Remote

$70 - $80/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

Pharmacovigilance Expert

Des Moines, IA ยท Remote

$70 - $80/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness ...

We use AI agents across the lifecycle: writing and reviewing code, generating tests, triaging dependencies, and building internal tooling. In the short term, you will: * Ramp up on our systems. Learn ...

Coding Tutor

Iowa City, IA ยท Remote

$18 - $40/hr

... online Coding tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Showing results 41-60

Ai Coder information

See Iowa salary details

$14

$25

$40

How much do ai coder jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai coder in Iowa is $25.82, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $32.50 per hour, depending on experience, location, and employer.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

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

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What are popular job titles related to Ai Coder jobs in Iowa?

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

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

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

Infographic showing various Ai Coder job openings in Iowa as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $53,709 per year, or $25.8 per hour.

AI & Automation Solution Architect- Hybrid Des Moines, Iowa

American Enterprise Group, Inc.

Des Moines, IA โ€ข On-site

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

Wellabe is hiring for an AI & Automation Solution Architect. This role supports the AI & Automation Center of Excellence by designing reusable, secure, and scalable solution patterns for AI and automation capabilities. This role builds reference implementations, validates tools and approaches, provides technical advisory support, and helps distributed teams design solutions aligned with enterprise architecture, security, governance, and responsible AI expectations. The role enables a federated delivery model where business and technology teams retain ownership while the CoE provides patterns, standards, reusable assets, and acceleration.
Core Responsibilities
  • Design AI and Automation Solution Patterns
    • Develop reusable AI and automation solution patterns that translate business use cases into practical conceptual, logical, and technical designs.
    • Define repeatable design approaches, documentation standards, testing expectations, support considerations, and measurement practices that can be adopted across business and technology teams.
    • Partner with enterprise architecture to ensure solution patterns align with enterprise standards, integration principles, security expectations, and cloud architecture direction.
  • Build Reference Implementations and Proofs of Value
    • Build or co-build prototypes, proof-of-value implementations, reusable components, and demonstration scenarios that validate AI and automation approaches.
    • Evaluate emerging tools, platforms, integration patterns, automation capabilities, and technical assumptions through hands-on reference implementations.
    • Document implementation lessons, constraints, and recommended patterns so solutions can be replicated, adapted, extended, and moved toward production.
  • Provide Technical Advisory and Design Support
    • Serve as a technical advisor to business, product, process improvement, and technology delivery teams pursuing AI and automation opportunities.
    • Translate use cases, workflow impacts, business requirements, and adoption needs into practical solution options in partnership with the AI & Automation Enablement Lead.
    • Guide teams through tool selection, architecture, integration, data, security, controls, testing, deployment, scaling considerations, and technical risk tradeoffs.
  • Support Responsible AI and Automation Practices
    • Embed responsible AI and automation practices into solution design, including transparency, human oversight, data protection, security, privacy, explainability where appropriate, and appropriate use limitations.
    • Partner with governance, risk, compliance, legal, privacy, information security, and data governance teams to ensure solutions follow enterprise guardrails.
    • Identify, document, and support mitigation of AI-specific risks, production readiness needs, human-in-the-loop controls, operational monitoring, and auditability requirements.
  • Define Technical Standards, Templates, and Reusable Assets
    • Create and maintain technical templates, reference architectures, design checklists, prompt engineering patterns, automation standards, testing guides, and production readiness materials.
    • Develop reusable components, scripts, connectors, workflow patterns, prompt libraries, configuration examples, and technical accelerators where appropriate.
    • Partner with CoE leadership to ensure technical assets are understandable, reusable, aligned with business-facing playbooks, and continuously improved based on implementation lessons.
  • Support Lifecycle Execution from Intake to Scale
    • Support the end-to-end AI and automation lifecycle, from opportunity assessment and solution design through prototype development, governance alignment, testing, deployment readiness, adoption, measurement, and scale.
    • Define production readiness expectations for technical design, documentation, ownership, monitoring, support model, controls, adoption needs, and benefit tracking.
    • Partner with delivery teams to plan pilot-to-production transitions, resolve technical barriers, and ensure solutions are secure, supportable, observable, maintainable, and aligned with enterprise architecture expectations.
  • Enable Distributed Delivery Teams
    • Coach technology and business teams on approved AI and automation patterns, tools, standards, delivery practices, and responsible use of CoE-provided guidance and reusable assets.
    • Provide technical enablement through demos, design walkthroughs, knowledge-sharing sessions, office hours, and communities of practice.
    • Help teams determine when to use generative AI, workflow automation, RPA, low-code/no-code tools, APIs, data services, or traditional application capabilities while promoting reuse over one-off solutions.
  • Partner Across Platforms, Data, Architecture, and Security
    • Collaborate with enterprise architecture, cloud/platform teams, data and analytics, application teams, security, identity/access management, infrastructure, and operations.
    • Ensure solutions consider data readiness, integration needs, access controls, platform constraints, system performance, monitoring, operational support, scalability, and vendor/platform limitations.
    • Support alignment with approved platforms, enterprise technical standards, capability roadmaps, and technical enablement needs.
Qualifications
  • 5+ years of experience in solution architecture, application development, automation engineering, systems integration, enterprise applications, digital transformation, or a related technology field required
  • Experience designing and delivering AI, automation, workflow, low-code/no-code, data-enabled, or digital business solutions using enterprise applications, APIs, integrations, and data services required.
  • Experience with Microsoft cloud, AI, automation, and low-code/no-code platforms; responsible AI, AI governance, data privacy, information security, model risk, vendor risk, regulatory, or compliance considerations; and regulated industry environments such as insurance, financial services, or healthcare strongly preferred.
  • Familiarity with advanced AI and automation practices, including MLOps, LLMOps, prompt engineering, retrieval-augmented generation, document intelligence, process mining, workflow orchestration, knowledge management, or API-based integrations preferred.
  • Experience developing prototypes, proofs of value, reusable technical assets, reference architectures, enterprise solution patterns, or supporting design reviews, architecture governance, agile delivery, product management, design thinking, Lean, Six Sigma, DevOps, continuous improvement, communities of practice, or technical training preferred.
  • Strong knowledge of solution design, systems integration, security-by-design, testing, documentation, production readiness, supportability, operational handoff, and translating business needs into practical solution options.
  • Strong collaboration, problem-solving, facilitation, consulting, documentation, stakeholder management, and communication skills, with experience working across business, product, architecture, security, data, compliance, risk, and technology teams.
  • Knowledge of solution architecture, systems integration, AI and automation technologies, responsible AI practices, governance, security, production readiness, and operational support considerations.
  • Translate business needs into practical AI, automation, workflow, and digital solution designs aligned with enterprise standards.
  • Develop reusable solution patterns, prototypes, technical templates, reference architectures, and other enablement assets that support repeatable delivery.
  • Evaluate tools, platforms, integration patterns, and automation capabilities through hands-on experimentation and documented lessons learned.
  • Advise, coach, and enable business and technology teams on approved AI and automation practices, responsible use, and pilot-to-production execution.
  • Partner across architecture, data, security, compliance, risk, governance, operations, and delivery teams to ensure solutions are secure, scalable, supportable, and aligned with enterprise expectations.
Education
  • Bachelor's degree in information technology, computer science, engineering, data/analytics, business systems, or a related field; equivalent work experience will also be considered.
  • Additional coursework with emphasis in AI, automation, data/analytics, digital business solutions, systems integration, or enterprise technology 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
  • CliftonStrengthsยฎ 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.