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Ai Prompt Engineer Jobs in Iowa (NOW HIRING)

Pwc

AI Engineer

Des Moines, IA · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

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How much do ai prompt engineer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for ai prompt engineer in Iowa is $50.37, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $58.46 per hour, depending on experience, location, and employer.

What is the job of an AI prompt engineer?

An AI prompt engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like GPT to ensure accurate and relevant outputs, often requiring skills in programming, linguistics, and AI concepts.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

What is an AI Prompt Engineer job?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools, and job growth is driven by expanding AI applications across industries.

What are the typical daily tasks of an AI Prompt Engineer?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

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

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

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Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Iowa as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $104,777 per year, or $50.4 per hour.

AI & Automation Delivery Engineer- Hybrid Des Moines, Iowa

American Enterprise Group, Inc.

Des Moines, IA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 8 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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