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Generative Ai Developer Jobs in Nebraska (NOW HIRING)

GE HealthCare

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Demonstrated experience building and deploying large-scale Generative AI or foundation model ... Strong programming skills in Python and C++. * Experience developing scalable, maintainable ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion ...

Inland Imaging

AI Solutions Engineer

Inland, NE · Hybrid

$89K - $133K/yr

... generative AI solutions using API's such as OpenAI, Anthropic or similar platforms. * Hands-on experience with CI/CD pipeline tools (GitHub Actions, Jenkins, Azure DevOps, GitLab CI). * Strong ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

As the Senior Staff AI Scientist, you will focus on exciting generative AI problems, large-scale ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

As the Senior Staff AI Scientist, you will focus on exciting generative AI problems, large-scale ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Nebraska

Generative Ai Developer information

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$18

$43

$96

How much do generative ai developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for generative ai developer in Nebraska is $43.18, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $52.26 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Nebraska? For Generative Ai Developer jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Nebraska look for? The top searched job categories for Generative Ai Developer jobs in Nebraska are:
What cities in Nebraska are hiring for Generative Ai Developer jobs? Cities in Nebraska with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Nebraska as of July 2026, with employment types broken down into 71% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $89,814 per year, or $43.2 per hour.

Business Analyst - AI/Generative AI

Cliff Services Inc

Omaha, NE • On-site

Other

Posted 15 days ago

Job description

Position: Business Analyst AI/Generative AI
Location: Frisco & Omaha
Duration: 12+ Months
Interview Mode: Virtual

Job Description

Fiserv is seeking a highly motivated Business Analyst with AI/Generative AI experience to bridge the gap between business stakeholders and technical teams. The ideal candidate will have strong business analysis skills combined with exposure to AI, Machine Learning, and Generative AI initiatives within the Banking or Financial Services domain. The candidate will work closely with product owners, data scientists, and engineering teams to gather requirements, define AI use cases, and support the successful implementation of AI-driven business solutions.

Key Responsibilities

  • Gather, analyze, and document business and functional requirements for AI/ML and Generative AI initiatives.
  • Collaborate with business stakeholders, product managers, data scientists, and development teams to define AI use cases.
  • Translate business requirements into functional specifications, user stories, acceptance criteria, and process flows.
  • Analyze current business processes and identify opportunities for AI-driven automation and optimization.
  • Support AI solution design, implementation, testing, and production rollout.
  • Facilitate Agile ceremonies including backlog grooming, sprint planning, and user acceptance testing (UAT).
  • Work with data engineering teams to define data requirements, data lineage, and business rules.
  • Create BRDs, FRDs, process flow diagrams, workflow documentation, and presentation materials.
  • Monitor project progress and ensure alignment between business objectives and technical delivery.
  • Support change management, user training, and knowledge transfer activities.

Required Skills

  • 7+ years of experience as a Business Analyst.
  • 2+ years of experience working on AI, Machine Learning, or Generative AI projects.
  • Strong understanding of AI concepts including LLMs, Prompt Engineering, RAG, AI Agents, NLP, and Vector Databases.
  • Experience gathering requirements for AI-enabled applications.
  • Strong experience with Agile/Scrum methodology.
  • Excellent knowledge of SQL for data analysis.
  • Experience with Jira, Confluence, Visio, and Microsoft Office Suite.
  • Strong communication, stakeholder management, and documentation skills.
  • Experience creating BRDs, FRDs, User Stories, Use Cases, Process Flows, and UAT documentation.

Preferred Skills

  • Banking or Financial Services domain experience (Fiserv, Banking, Payments, Cards, Digital Banking).
  • Knowledge of OpenAI, Azure OpenAI, Google Gemini, Claude, or similar LLM platforms.
  • Experience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks.
  • Familiarity with Snowflake, Databricks, AWS, Azure, or Google Cloud Platform.
  • Experience working with APIs and system integrations.
  • Knowledge of data governance, compliance, and AI security best practices.

Nice to Have

  • Exposure to Payment Processing, Merchant Services, Digital Banking, or Core Banking platforms.
  • Understanding of Responsible AI and AI governance.
  • Experience supporting AI chatbot or intelligent automation implementations.

Primary Skills

  • Business Analysis
  • Artificial Intelligence (AI)
  • Generative AI
  • LLMs (OpenAI/Azure OpenAI/Gemini/Claude)
  • Prompt Engineering
  • RAG (Retrieval-Augmented Generation)
  • SQL
  • Agile/Scrum
  • Jira & Confluence
  • Banking / Payments / Financial Services

Apply