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Ai Applications Engineer Jobs in Iowa (NOW HIRING)

... applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You ...

CTIO AI Engineering Manager

Des Moines, IA · On-site

$73K - $244K/yr

Responsibilities - Work with cross-functional teams to incorporate AI into various applications ... engineering or related field What Sets You Apart - Master's Degree in Computer Engineering, Data ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

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Ai Applications Engineer information

How does an AI Applications Engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

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

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

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

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

What does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

What are AI Applications Engineers?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.
What are popular job titles related to Ai Applications Engineer jobs in Iowa? For Ai Applications Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Ai Applications Engineer jobs in Iowa look for? The top searched job categories for Ai Applications Engineer jobs in Iowa are:
What cities in Iowa are hiring for Ai Applications Engineer jobs? Cities in Iowa with the most Ai Applications Engineer job openings:
Infographic showing various Ai Applications Engineer job openings in Iowa as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Integration & Applications Engineer

Frontier Co-op

Norway, IA • On-site

Full-time

Re-posted 3 days ago


Job description

Description
We are seeking an experienced Integration and Applications Engineer to join our IT Department. In this role, you would be responsible for designing, implementing, and supporting enterprise applications and system integrations that enable seamless business operations. This role requires a techno-functional mindset, strong ERP experience (preferably in Infor M3), business process experience, and the ability to translate business needs into scalable, well-designed technical solutions. Our ideal candidate will act as a bridge between business stakeholders, vendors, and the IT team while leveraging modern integration technologies and AI-enabled capabilities.
KEY RESPONSIBILITIES
  • Support enterprise applications implementations and enhancement initiatives prioritizing the adoption of standard processes.
  • Design, develop, and maintain system integrations using Open APIs, middleware platforms, and event-driven architectures.
  • Collaborate with business stakeholders to understand functional requirements and translate them into system configurations, integrations, and application solutions.
  • Act as a techno-functional liaison, ensuring alignment between business processes and system design.
  • Configure, customize, and extend ERP and related applications to meet evolving business needs.
  • Participate in integration architecture design, ensuring scalability, security, and performance.
  • Support testing activities including unit testing, integration testing, and user acceptance testing.
  • Troubleshoot application and integration issues, perform root-cause analysis, and implement long-term fixes.
  • Leverage AI and robotic automation concepts to improve system usability and efficiency.
  • Produce and maintain solution documentation, interface specifications, and configuration guides.
  • Engage with vendors/customers, implementation partners, and internal IT team throughout the solution lifecycle.

QUALIFICATIONS & REQUIREMENTS
  • Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field (or equivalent experience).
  • 5+ years of experience in ERP, application support, or system integration roles.
  • Experience working in cross-functional IT and business teams.
  • Infor certifications or cloud ERP experience are considered a plus.

TECHNICAL & FUNCTIONAL EXPERTISE
  • Proven experience with ERP implementations, preferably Infor M3 or other Infor ERP platforms.
  • Hands-on experience delivering integration projects using Open APIs, RESTful services, and JSON/XML payloads.
  • Strong understanding of end-to-end business processes (e.g., finance, supply chain, manufacturing, order management).
  • Techno-functional skillset with the ability to work across configuration, integration, and functional analysis.
  • Experience with integration platforms (e.g., iPaaS, middleware, or message-based architectures) is a strong plus.

BUSINESS & COMMUNICATION SKILLS
  • Ability to speak the language of the business and translate business requirements into technical and system configurations.
  • Strong stakeholder management skills, including requirements gathering and solution walkthroughs.
  • Clear communication skills for both technical and non-technical audiences.

AI & MODERN TECHNOLOGY AWARENESS (PLUS)
  • Working understanding of AI concepts and applications in enterprise systems, such as:
    • Intelligent process automation
    • AI agents
    • Data analytics and insights
  • Ability to identify opportunities where AI-enabled features or automation can improve business outcomes.

PHYSICAL DEMANDS
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
  • While performing the duties of this job, the employee is regularly required to sit, talk or hear, and view a computer monitor or video display. The employee frequently is required to use hands and/or fingers to type, handle, or feel. The employee is occasionally required to stand, walk, and reach with hands and arms.

WORK ENVIRONMENT
  • The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

NOTE: This job description is not intended to be all-inclusive. Employees may perform other related duties as negotiated to meet the ongoing needs of the organization.