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Rpa Developer Jobs in Iowa (NOW HIRING)

Automation & Controls Engineer

Marshalltown, IA · On-site

$77K - $102K/yr

Manage electrical and programming tasks of automation projects to meet safety, quality, and product ... Specify, source, and test components for use in automation systems (PLCs, robots, vision systems ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

Showing results 41-60

Rpa Developer information

See Iowa salary details

$10

$47

$70

How much do rpa developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for rpa developer in Iowa is $47.41, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $54.42 per hour, depending on experience, location, and employer.

What is an RPA developer?

RPA Developers are professionals who design, build, and implement software robots (bots) to automate repetitive business processes using Robotic Process Automation (RPA) technology. They work with RPA tools such as UiPath, Blue Prism, or Automation Anywhere to create workflows that mimic human actions within digital systems. Their responsibilities often include analyzing processes for automation opportunities, developing and testing automation scripts, and maintaining deployed bots. RPA Developers collaborate closely with business analysts and IT teams to ensure that automated solutions are efficient, reliable, and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as an RPA developer?

To thrive as an RPA Developer, you need strong programming skills in languages such as Python, .NET, or Java, and a solid understanding of process automation concepts, often supported by a relevant degree or RPA certification. Familiarity with leading RPA platforms like UiPath, Blue Prism, or Automation Anywhere, as well as experience with workflow design and integration tools, is typically required. Analytical thinking, problem-solving abilities, and effective communication skills help RPA Developers design efficient automation solutions and collaborate with stakeholders. These skills are critical for delivering reliable automation projects that optimize business processes and drive operational efficiency.

What are some common challenges faced by RPA developers when implementing automation solutions in existing business processes?

RPA Developers often encounter challenges such as integrating bots with legacy systems that may lack APIs, handling frequent changes in application interfaces, and ensuring robust error handling in automated processes. Collaborating closely with business analysts and process owners is crucial to accurately map workflows and identify potential exceptions. Additionally, maintaining clear documentation and adapting to evolving business needs are essential for long-term success in the role.

What is the difference between Rpa Developer vs Business Analyst?

AspectRpa DeveloperBusiness Analyst
Required CredentialsCertifications in RPA tools (e.g., UiPath, Automation Anywhere), programming skillsBusiness analysis certifications (e.g., CBAP), strong communication skills
Work EnvironmentDeveloping and testing automation scripts, coding in RPA platformsGathering requirements, analyzing business processes, stakeholder communication
Employer & Industry UsageTech companies, finance, healthcare, manufacturingConsulting firms, finance, healthcare, IT departments

While both roles work within the automation and process improvement space, Rpa Developers focus on building and maintaining automation scripts using RPA tools, requiring technical skills and coding knowledge. Business Analysts, on the other hand, analyze business needs, gather requirements, and facilitate communication between stakeholders and technical teams. Both roles often collaborate but serve different functions within projects.

Is RPA developer in demand?

RPA developers are in high demand as organizations seek to automate repetitive tasks using tools like UiPath, Automation Anywhere, and Blue Prism. The role requires skills in programming, process analysis, and automation tools, and job growth is expected to continue as digital transformation accelerates across industries.

What are the most commonly searched types of Rpa Developer jobs in Iowa?

The most popular types of Rpa Developer jobs in Iowa are:

What are popular job titles related to Rpa Developer jobs in Iowa?

For Rpa Developer jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Rpa Developer jobs in Iowa look for?

The top searched job categories for Rpa Developer jobs in Iowa are:

What cities in Iowa are hiring for Rpa Developer jobs?

Cities in Iowa with the most Rpa Developer job openings:

Infographic showing various Rpa Developer job openings in Iowa as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $98,622 per year, or $47.4 per hour.

AI & Automation Solution Architect- Hybrid Des Moines, Iowa

Des Moines, IA • On-site

American Enterprise Group, Inc.
Insurance Services • 501 - 1,000 employees

Full-time

Medical, Retirement, PTO

Re-posted 21 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
  • 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.