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Ai Prompt Engineer Jobs in Iowa (NOW HIRING)

Jobtailor

AI & Automation Delivery Engineer

Des Moines, IA · On-site

$110 - $160/hr

AI & Automation Delivery Engineer - Wellabe * Supports the AI & Automation Center of Excellence by ... Develops reusable automation patterns, workflow templates, prompt examples, connectors, scripts ...

Pwc

AI Engineer

Des Moines, IA

$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 ...

Socket.dev

Software Engineer

Cedar Rapids, IA · On-site

$85 - $120/hr

This role involves designing, developing, testing, and maintaining applications, with opportunities to apply AI coding, prompt engineering, and integration of AI-assisted tools. Familiarity with ...

Meta

IA

$193K/yr

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies * Experience with network telemetry platforms ...

Pwc

ERP AI Engineer - Manager

Des Moines, IA · On-site

$99K - $232K/yr

... and prompt engineering - Building scalable, cloud-native microservices and containerized ... AI solution designs - Contributing to business development and proposal writing - Cloud ...

Harris

Software Engineer

Nevada, IA

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

Pwc

AI Solutions Engineering Delivery Lead

Des Moines, IA · On-site

$100K - $131K/yr

The Opportunity : The AI Solutions Engineering Delivery Lead will oversee multiple ... and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or ...

Deloitte

AI Security Engineer Manager

Davenport, IA · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection ...

Deloitte

AI Security Engineer Manager

Des Moines, IA · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development ... Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection ...

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All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in Iowa

Ai Prompt Engineer information

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How much do ai prompt engineer jobs pay per hour?

As of Aug 24, 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 an AI prompt engineer?

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.

What does an AI prompt engineer do?

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 as an AI prompt engineer?

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.

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.

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.

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 natural language processing to ensure accurate and relevant outputs, often working with machine learning frameworks and data annotation techniques.

What are the most commonly searched types of Ai Prompt Engineer jobs in Iowa?

The most popular types of Ai Prompt Engineer jobs in Iowa are:

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

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

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

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

What cities in Iowa are hiring for Ai Prompt Engineer jobs?

Cities in Iowa with the most Ai Prompt Engineer job openings:

Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $104,777 per year, or $50.4 per hour.

AI & Automation Delivery Engineer

Jobtailor

Des Moines, IA • On-site

$110 - $160/hr

Other

Posted 6 days ago

Job description

AI & Automation Delivery Engineer – Wellabe
  • Supports the AI & Automation Center of Excellence by building practical AI and automation solutions, prototypes, pilots, reusable components, and technical accelerators.
  • 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.
  • Focuses on delivering immediate value while enabling distributed teams to reuse approved patterns and scale AI and automation responsibly.
  • Builds AI and Automation Solutions, configures, tests, and refines AI and automation solutions using approved platforms, patterns, workflows, agents, prompts, connectors, integrations, and reusable components.
  • Develops 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.
  • Builds lighthouse solutions and working examples that demonstrate practical AI and automation use cases and can be showcased, reused, replicated, or extended across the enterprise.
  • Validates feasibility, user experience, integration needs, data dependencies, platform fit, risks, and production readiness through rapid experimentation, documentation, and lessons learned.
  • Develops reusable automation patterns, workflow templates, prompt examples, connectors, scripts, configuration guides, sample solutions, and technical accelerators.
  • Partners 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.
  • Supports implementation from intake through design, build, testing, deployment readiness, adoption, measurement, scale, and production handoff.
  • Tracks progress, risks, dependencies, reusable assets, implemented automations, lessons learned, benefits realized, adoption, usage, efficiency gains, quality improvements, and other business outcomes.
Requirements
  • 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.
  • 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.
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