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Ai Integration Engineer Jobs in Iowa (NOW HIRING)

... Intelligence (AI) integration across CPX systems and processes. In this advanced individual ... Strong background in business process re-engineering, change management, cohort analytics, and ...

ERP AI Engineer - Manager

Des Moines, IA · On-site

$99K - $232K/yr

... integration and utilisation of business applications, enabling clients to achieve their strategic ... in AI/ML engineering, data science, or a related technical role What Sets You Apart - Master ...

AI Solutions Engineering Delivery Lead

Des Moines, IA · On-site

$100K - $131K/yr

... integration of Large Language Models (LLMs) and orchestrated applications - Manage and own the full lifecycle of AI models and solutions, from development through deployment, monitoring, maintenance ...

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

Showing results 41-60

Ai Integration Engineer information

See Iowa salary details

$41.8K

$116.7K

$163K

How much do ai integration engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai integration engineer in Iowa is $116,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $131,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
What are popular job titles related to Ai Integration Engineer jobs in Iowa? For Ai Integration Engineer jobs in Iowa, the most frequently searched job titles are:
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What cities in Iowa are hiring for Ai Integration Engineer jobs? Cities in Iowa with the most Ai Integration Engineer job openings:
Infographic showing various Ai Integration Engineer job openings in Iowa as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,727 per year, or $56.1 per hour.

AI Operations Lead, CPX

Workiva, Inc.

Ames, IA • On-site

Other

Retirement

Posted 15 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 242 rated software companies


Job description

The AI Operations Lead, CPX serves as the strategic thought leader for Artificial Intelligence (AI) integration across CPX systems and processes. In this advanced individual contributor role, you will partner extensively with CPX Leadership and Business Technology to optimize our growing tech stack, operationalize metrics and deployment of high-value AI use cases, oversee technology spend, and build scalable solutions that evolve how our teams operate.

What You'll Do

  • Direct AI enablement across CPX, transitioning from hands-on tactical execution to scalable, department-wide strategic leadership

  • Own and maintain a comprehensive catalogue of AI use cases across CPX functions (Professional Services, Customer Success, Support), serving as the critical link to turn team ideas into standard operational workflows

  • Define and continuously improve processes for the internal utilization of generative AI, autonomous agents, and machine-assisted development workflows

  • Consult with CPX functions-including Professional Services, Customer Success, and Support-to identify, prioritize, and formalize intake workflows for a continuous pipeline of agentic solutions

  • Partner directly with Business Technology and InfoSec to ensure secure-by-default practices, compliance, adoption, and lifecycle management of AI tooling

  • Own responsibility for managing CPX AI technology spend, monitoring ROI, tracking financial benchmarks, and implementing measurement frameworks to quantify cost metrics against output volume

  • Drive the definition of success in highly ambiguous spaces, utilizing a structured 30-60-90 day roadmap to establish empirical baselines, execute controlled pilots, and scale delivery

  • Identify and document shadow or undocumented workflows across CPX functions to develop AI-augmented standards that drive successful sub-functional outcomes

  • Provide mentorship, technical oversight, and strategic direction to distributed AI Champions and cross-functional project teams without formal administrative people management responsibilities

  • Operate as an advanced individual contributor to standardize processes for enablement, deployment, tool assessment, and prototyping AI solutions

What You'll Need

Minimum Qualifications

  • Undergraduate degree or equivalent combination of education and experience in a related field

  • 8+ years of progressive experience in business operations, technology program management, customer operations (CS/Services/Support), or digital transformation

Preferred Qualifications

  • Recognized as a subject matter expert in AI tooling, Business technology stack & workflow system within a SaaS environment

  • Proven experience in vendor management, software procurement processes, and technology budget oversight

  • Direct strategic experience leveraging AI investments across platforms like Claude, Gong, NotebookLM, Gemini, Workato, or similar enterprise tools

  • Strong background in business process re-engineering, change management, cohort analytics, and driving user adoption across non-technical teams

Travel Requirements & Working Conditions

  • Minimal travel for customer and internal meetings

  • Reliable internet access for any period of time working remotely and not in a Workiva office

How You'll Be Rewarded

Salary range in the US: $118,000.00 - $194,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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