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Ai Integration Engineer Jobs in Nebraska (NOW HIRING)

Cordova

AI Engineer/.NET

Omaha, NE · On-site

You will operate as an AI-native engineer, having fully integrated AI tools and workflows into how you think, build, and ship -- treating AI as a core force multiplier rather than an optional add-on.

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site +1

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Design and integrate Agentic processes into enterprise systems and workflows * Maintain and ...

CSAA

Solve performance, availability, deployment, and integration issues across AI and data ecosystems. * Partner with engineering and business teams to rapidly restore service and minimize operational ...

Woodmenlife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$109K - $131K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Implement APIs and services for agent integration * Apply AIOps/ MLOps practices for deployment ...

Scale AI, Inc.

Field Engineer, Data Engine

Omaha, NE · On-site

Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal ... Implement end-to-end data integrations, syncing customer's data to Scale's platform and back.

Scale AI, Inc.

Field Engineer, Public Sector

Omaha, NE · On-site

As a Field Engineer on our federal AI projects, you'll work directly with our largest public sector ... What You'll Do * Build end-to-end data integrations that sync customer data to and from Scale ...

Tenaska, Inc.

Software Engineer

Omaha, NE · On-site

The Software Engineer develops, enhances, and supports Windows Services, APIs, and other ... Provide clear context and direction to AI tools, supervise and integrate their output, and ...

Tenaska

Software Engineer

Omaha, NE · On-site

The Software Engineer develops, enhances, and supports Windows Services, APIs, and other ... Provide clear context and direction to AI tools, supervise and integrate their output, and ...

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Nebraska

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:

Ai Integration Engineer jobs near you
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 Engineer/.NET

Omaha, NE • On-site

Cordova
See more jobs at Cordovaexternal

Full-time

Posted 16 days ago

Job description

Senior AI Engineer

As a Senior AI Engineer, you will utilize your advanced professional expertise and experience to enhance and maintain the software products developed by our client, a wealth management technology company. You will operate as an AI-native engineer, having fully integrated AI tools and workflows into how you think, build, and ship — treating AI as a core force multiplier rather than an optional add-on. As the organization continues to evolve and live its core values, they are looking for someone to grow with the team.

In this role, you'll get to:

  • Champion a culture of continuous learning and growth within the team, modeling curiosity and adaptability in the face of new challenges and technologies
  • Develop and maintain high impact product features
  • Create and design solutions for new features, subsystems, modules, systems, or platforms that may be specific or cross-cutting in nature
  • Guide fellow team members in the code review process
  • Guide and provide clarity for fellow team members in delivering quality solutions
  • Ensure application quality by testing integrated features as well as writing test automation where appropriate
  • Ensure application safety by following secure coding best practices
  • Troubleshoot, diagnose, and fix product defects
  • Maintain a deep and intrinsic understanding of business use cases and objectives
  • Actively maintain a self-paced learning regimen to feed professional curiosity, with particular attention to the rapidly evolving AI tooling and capabilities landscape
  • Leverage AI tools and workflows throughout the development process — from ideation and architecture exploration to coding, debugging, testing, and code review — to accelerate delivery and improve quality
  • Evaluate and introduce emerging AI-powered tools and practices to the team, helping establish shared standards for effective AI-assisted development
  • Utilize source control to effectively manage delivery of work
  • Understand and operate the full lifecycle of the software platform, from coding to delivery and observation in production
  • Learn and adhere to team and company processes, standards, and procedures
  • Actively develop and maintain working relationships with team and department members
  • Participate in the full Software Development Lifecycle (SDLC)
  • Maintain and nurture an opportunistic mindset — proactively identifying ways to improve processes, tools, and outcomes rather than waiting for direction
  • Move fast while maintaining the company's integrity and position in the marketplace
  • Lead from the front lines in helping the team keep consistently delivering

We're looking for talent who:

  • Has mastery of C#/.NET ecosystem
  • Has strong understanding of browser capabilities, web performance, and front-end architecture
  • Has advanced SQL and relational database expertise
  • Has knowledge of data lakes and distributed data pipeline technologies
  • Has experience with AWS Bedrock and building out MCP systems
  • Has expertise across AWS (Lambda, API Gateway, CloudFront, SQS, SNS, SES, EventBridge, S3, RDS, Bedrock)
  • Has strong understanding of OAuth2, OpenID Connect, cryptography, and security protocols
  • Has mastery of git workflows, CI/CD pipelines, IaC best practices, and SDLC processes
  • Has broad architectural pattern knowledge (DDD, CQRS, SOLID, event-driven patterns)
  • Has exceptional debugging and problem-solving skills across the full stack
  • Tackles high-impact, highly ambiguous problems with no blueprint
  • Defines technical frameworks, patterns, and decision structures for other engineers to follow
  • Solutions directly influence the organization's long-term scalability, reliability, and competitive advantage
  • Builds influence networks across teams and guides engineering direction at scale
  • Operates with full independence on new, critical, or technically undefined initiatives
  • May indirectly lead engineers or project teams through influence and technical direction
  • Determines architecture, technical strategies, and methods for complex initiatives
  • Has a minimum of 10+ years of progressive software engineering experience
  • Has demonstrated mastery architecting and building in AWS
  • Has AWS Solutions Architect certification (or equivalent experience) strongly preferred
  • Owns and manages relationships with stakeholders directly and works effectively with people at all levels in an organization

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