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Ai Integration Engineer Jobs in Nebraska (NOW HIRING)

AI Solutions Engineer

Inland, NE · Hybrid

$89K - $133K/yr

The AI Solutions Engineer will be responsible for the design, building development and deployment ... Integrates AI-driven solutions with EMR/EHR systems, PACS, clinical workflows, and modern data ...

Sr Integrations Engineer

Papillion, NE · On-site +1

$98K - $132K/yr

This position is ideal for a developer with strong API and integration experience who is interested in modern AI technologies, agent-based architectures, and AI-assisted software development ...

... integrations, and agentic AI, you will guide critical decisions involving accuracy, latency ... Engineer contextual AI experiences that use real-time customer data, interaction history ...

... integrate them into their day-to-day practice. Functionally, they act as legal engineers. You'll ... The Legal AI Advisor will report to the Senior Director, Legal AI Consulting, based in the US.

This role is not a task taker but need a consultant minded engineer who can look at legacy systems and see opportunities for refactoring, efficiency, and AI integration. You will be responsible for ...

Senior Software Engineer

Omaha, NE · On-site +1

$111K - $146K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Senior Software Engineer

Omaha, NE · On-site +1

$111K - $146K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

You'll partner closely with product, design, and engineering to turn business needs into reliable ... Integrate AI models into existing applications and backend systems through APIs and scalable ...

You'll partner closely with product, design, and engineering to turn business needs into reliable ... Integrate AI models into existing applications and backend systems through APIs and scalable ...

AI & Automation Engineer

Omaha, NE · On-site

$90K - $120K/yr

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Azure AI services, cognitive services). * Programming Skills: Proficiency in at least one ...

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved ...

Sr AI Engineer

Omaha, NE · On-site

$100K - $137K/yr

This engineer independently delivers complex platform capabilities, mentors junior engineers, and ... Develop integrations with Azure AI Foundry, Anthropic Claude SDK, Azure OpenAI, and other approved ...

Senior AI Engineer

Omaha, NE · Remote

$65 - $100/hr

... teams integrate into their solutions. The ideal candidate has experience building cloud-native ... software engineering experience • 2+ years building production AI services, AI platforms, or ...

As a AI Solution Engineer, you will work at the front line of that growth: engaging customers ... Advise customers on API integration, including authentication, rate limits, endpoints, performance ...

As a AI Solution Engineer, you will work at the front line of that growth: engaging customers ... Advise customers on API integration, including authentication, rate limits, endpoints, performance ...

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Showing results 1-20

Ai Integration Engineer information

See Nebraska salary details

$42.4K

$118.5K

$165.4K

How much do ai integration engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai integration engineer in Nebraska is $118,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $133,500.00 per year, depending on experience, location, and employer.

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.

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.

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 Nebraska?

For Ai Integration Engineer jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in Nebraska look for?

The top searched job categories for Ai Integration Engineer jobs in Nebraska are:

Infographic showing various Ai Integration Engineer job openings in Nebraska as of September 2026, with employment types broken down into 1% Internship, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $118,490 per year, or $57 per hour.

AI Integration Specialist

Lincoln, NE • On-site

University of Nebraska-Lincoln
Colleges, Universities, and Professional Schools • 201 - 500 employees

Other

Re-posted 2 days ago


Job description

University of Nebraska-Lincoln Employment WebsitePlease see Special Instructions for more details.Position InformationWorking Title

Working Title AI Integration Specialist

Department

Department College of Business-0897

Requisition Number

Requisition Number S_260351

Posting Open Date

Posting Open Date 05/11/2026

Application Review Date

(To ensure consideration, please submit all application materials before review date)

05/26/2026

Posting Close Date

Open Until Filled Yes

Description of Work

The AI Integration Specialist serves as a foundational technical role within the College of Business, supporting the application of artificial intelligence and automation technologies to improve teaching, research, and administrative operations.

This position performs technical and analytical tasks under general supervision and assists with the design, development, and maintenance of AI-enabled applications and automated workflows. The specialist collaborates with faculty and staff to identify opportunities for using technology to streamline processes, increase efficiency, and support innovation across the college.

The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. See https://equity.unl.edu/notice-nondiscrimination/ .

Minimum Required Qualifications
  • Associate's degree in computer science, information systems, or a related field and one (1) year of experience in programming, automation, or system integration.
  • Additional years of relevant experience or completed relevant education may substitute for required education/experience on a year-for-year basis.
  • Experience developing or supporting AI-enabled applications or automation workflows.
  • Experience leveraging Robotic Process Automation ( RPA ) tools and applying AI platforms such as OpenAI (ChatGPT or Codex), Microsoft Copilot, or Power Automate.
  • Strong problem-solving and communication skills.
Preferred Qualifications
  • Bachelor's degree in computer science, data science, or a related field.
  • Experience working within higher education environment or research setting.
  • One year experience working within a ticketing system for managing technical requests.
  • One year experiencesoftware versioning and testing.
  • Knowledge of data governance, information security, and ethical AI
    practices.
  • Knowledge of software development life cycle methodologies.
Pre-Placement Driving Record Review Required

No

Physical Required

No

Commercial Driver's License (CDL) required. Subject to DOT approved pre-employment & random testing for alcohol and controlled substances.

No

Criminal History Background Check Required

Yes

Job Category (old)

Job Category (old) Managerial/Professional

Job Type

Job Type Full-Time

Alternate Work Schedule (if other than 8-5)Work Location (City, State)

Lincoln, NE

Position funded by grant or other form of temporary funding?

No

Appointment End DatePlanned Hire Date:

Planned Hire Date: May 2026

Supplemental Questions

Required fields are indicated with an asterisk (*).

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