1

Senior Generative Ai Engineer Jobs in Nebraska (NOW HIRING)

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

... Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical ...

Senior AI Engineer

Clifton Park, NY

$100K - $138K/yr

Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise AI models--from data pipeline architecture to deployment and monitoring. The role will partner with ...

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 ...

AI Solutions Engineer

Inland, NE · Hybrid

$89K - $133K/yr

... Senior AI Solutions Engineer. * Designs and develops integrations using REST API endpoints and third-party services. * Develops and refines generative AI models (e.g., large language models ...

... emerging Generative AI technologies. You will partner with Data Engineering, Data Science ... Serve as a senior escalation point for complex production issues involving AI platforms, machine ...

New

Sr AI Engineer

Papillion, NE · On-site +1

$98K - $135K/yr

Senior Level Home District/Group: DHO Information Technology Group Department: Technology Group ... Corporate Home Office Employment Type: Full Time Position Overview Kiewit is seeking an AI Engineer ...

Sr AI Engineer

Omaha, NE · On-site

$100K - $137K/yr

Senior Level Home District/Group: DHO Information Technology Group Department: Technology Group ... Corporate Home Office Employment Type: Full Time Position Overview Kiewit is seeking an AI Engineer ...

Sr AI Engineer

Omaha, NE · On-site

$110 - $170/hr

Senior Level Market: Corporate Home Office Employment Type: Full Time Position Overview Kiewit is seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers ...

Senior AI Engineer

Omaha, NE · Remote

$65 - $100/hr

A leading construction and engineering organization is seeking a Senior AI Engineer to help design, build, and scale an enterprise AI platform that powers intelligent applications across the business.

We're looking for a Senior AI Engineer who ships, not just experiments. This is a hands-on, product ... Integrate LLMs and generative AI into products and workflows * Apply prompt engineering, fine ...

Senior AI Engineer

Omaha, NE · On-site

$140K - $226K/yr

As a Senior AI Engineer, you will utilize your advanced professional expertise and experience to enhance and maintain the software products developed by Summit Wealth Systems. You will operate as an ...

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 ...

Senior AI Engineer

Omaha, NE · Remote

$65 - $100/hr

Description Position Overview Seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers intelligent applications across the organization. This role focuses on ...

Senior AI Engineer

Omaha, NE · On-site

$65 - $100/hr

Description Position Overview Seeking an AI Engineer 3 to design, develop, and operate the enterprise AI platform that powers intelligent applications across the organization. This role focuses on ...

Lead AI Engineer

Omaha, NE · On-site

$98K - $129K/yr

Job Title Lead AI Engineer About Your Role As a Lead AI Engineer, you will play a critical role in ... Mentor senior engineers, foster communities of practice, and promote architectural thinking ...

next page

Showing results 1-20

Senior Generative Ai Engineer information

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

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

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Nebraska?

The most popular types of Generative Ai Engineer jobs in Nebraska are:

What are popular job titles related to Senior Generative Ai Engineer jobs in Nebraska?

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

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

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

What cities in Nebraska are hiring for Senior Generative Ai Engineer jobs?

Cities in Nebraska with the most Senior Generative Ai Engineer job openings:

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

98th of 494 rated machine equipment manufacturers


Job description

Job Description Summary
The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative Are you passionate about applying Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical applications. In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring reliability, performance, and responsible AI deployment.
Job Description
About the Role
At GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by delivering advanced analytics, visualization, multimodal learning, intelligent software, and scalable computing solutions across cloud and edge environments. Our Science & Technology organization develops AI capabilities that improve clinical workflows, enhance provider productivity, and help make healthcare more personalized, precise, and accessible.
What You Will Do
  • Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), foundation models, and modern machine learning techniques to automate clinical workflows.
  • Build scalable AI applications leveraging electronic medical records (EMRs), medical waveforms, clinical reports, and other healthcare datasets.
  • Develop robust inference pipelines, model serving infrastructure, and AI services optimized for reliability, scalability, latency, and cost.
  • Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and inference optimization techniques.
  • Implement responsible AI practices, including model evaluation, robustness testing, monitoring, and human-in-the-loop feedback mechanisms.
  • Collaborate with research scientists and cross-functional engineering teams to transition advanced AI models into production environments.
  • Build reusable software components, APIs, and development frameworks that enable scalable AI application development.
  • Stay current with emerging AI technologies, open-source frameworks, and industry best practices to continuously improve GE HealthCare's AI platform.
Required Qualifications
Education
  • Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science, Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or
  • PhD in a STEM discipline with relevant experience developing production AI systems.
AI & Machine Learning
  • Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions.
  • Experience developing applications using Large Language Models (LLMs), Agentic AI, or self-supervised learning techniques.
  • Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation.
Software Engineering
  • Strong programming skills in Python and C++.
  • Experience developing scalable, maintainable, production-quality software.
  • Experience designing APIs, distributed services, or cloud-native AI applications.
AI Infrastructure
  • Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning.
  • Experience deploying AI workloads using MLOps, ModelOps, or Foundation Model Operations (FMOps) practices.
  • Experience working with large-scale model training or inference infrastructure.
Healthcare Data
  • Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.
Preferred Qualifications
  • Experience solving complex engineering problems with ambiguous requirements.
  • Experience deploying large-scale distributed AI systems.
  • Experience with Spark, Hadoop, TensorFlow, or PyTorch in enterprise environments.
  • Experience building production data platforms and AI-powered software applications.
  • Track record of delivering machine learning solutions using large real-world healthcare datasets.
  • Experience optimizing large-scale AI training and inference performance.
Why Join GE HealthCare
Join a global AI engineering organization building production AI systems that improve patient care at scale. You'll work with world-class engineers and scientists across the United States, France, Israel, and India to bring cutting-edge Generative AI capabilities into healthcare products that make a meaningful difference for clinicians and patients worldwide.
Work Environment
Global Collaboration
Our AI teams are located across Bellevue, San Ramon, France, Israel (Tel Aviv), and India (Bangalore), providing opportunities to collaborate across a diverse, global engineering organization.
Work-Life Balance
We value flexibility and recognize that maintaining a healthy work-life balance enables our teams to perform at their best. Our flexible work environment supports both professional success and personal well-being.
Career Growth
You'll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

What GE HealthCare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom