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Ai Platform Engineer Jobs in Nebraska (NOW HIRING)

penlink

AI Engineer

Lincoln, NE · On-site

Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments * Strong ... Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience ...

Monitise

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 ... platforms * 4+ years of experience working with cloud-native and containerized technologies ...

penlink

AI Engineer

Lincoln, NE · On-site +1

Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments * Strong ... Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience ...

Fiserv, Inc.

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 ... platforms * 4+ years of experience working with cloud-native and containerized technologies ...

D.A. Davidson

AI & Automation Engineer

Omaha, NE

$90K - $120K/yr

Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow ... Azure AI services, cognitive services). * Programming Skills: Proficiency in at least one ...

D.A. Davidson

AI & Automation Engineer

Omaha, NE

Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow ... Azure AI services, cognitive services). Programming Skills: Proficiency in at least one programming ...

Inland Imaging

AI Solutions Engineer

Inland, NE · Hybrid

$89K - $133K/yr

The AI Solutions Engineer will be responsible for the design, building development and deployment ... Deploys models within production environments across cloud-native and edge platforms, applying ...

TEKsystems

Microsoft AI Engineer

Omaha, NE · Remote

$10 - $15/hr

The organization is actively shifting its AI strategy from evaluating large-scale software platforms to building practical, high-impact AI solutions internally. This engineer will play a key role in ...

Monitise

Lead AI Transformation Engineer

Omaha, NE · On-site

$98K - $129K/yr

Bridge the gap between corporate platform teams (AI CoE, Cloud Engineering, Security) and delivery teams by translating enterprise mandates into actionable delivery * Champion the adoption and ...

Fiserv, Inc.

Lead AI Transformation Engineer

Omaha, NE · On-site

$98K - $129K/yr

Bridge the gap between corporate platform teams (AI CoE, Cloud Engineering, Security) and delivery teams by translating enterprise mandates into actionable delivery * Champion the adoption and ...

NRC Health

Software Engineer

Lincoln, NE · On-site +1

... platforms. * Demonstrated proficiency using AI-assisted development tools such as GitHub Copilot ... powered engineering workflows. * Strong problem-solving skills with an ownership mindset.

NRC Health

Software Engineer

Lincoln, NE · On-site

... platforms. * Demonstrated proficiency using AI-assisted development tools such as GitHub Copilot ... powered engineering workflows. * Strong problem-solving skills with an ownership mindset.

Nrchealth

Software Engineer

Lincoln, NE · On-site

$80 - $116/hr

... platforms. * Demonstrated proficiency using AI-assisted development tools such as GitHub Copilot ... engineering workflows. * Strong problem‑solving skills with an ownership mindset. * Excellent ...

GE HealthCare

Principal AI Engineer

Bellevue, NE · On-site

Summary As an AI Engineer, you will play a critical role in designing, building, and deploying ... Building scalable, service-oriented platforms and reusable components that enable multiple teams to ...

Orion

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 ... Create and design solutions for new features, subsystems, modules, systems or platforms that may be ...

WoodmenLife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$107K - $150K/yr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Cloud Platforms: Azure * Tools: Power Automate, AI Foundry, Power Platform * Data Platforms:

Monitise

Senior AI Solutions Engineer

Omaha, NE · On-site

$128K - $216K/yr

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... Serve as the hands-on expert for Anthropic's Claude platform, Microsoft 365 Copilot, Copilot Studio ...

Woodmenlife

Data and Analytics - AI Engineer II

Omaha, NE · On-site

$110 - $150/hr

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... NET Data Platforms: Snowflake (preferred), SQL Server, Fabric Projects & Initiatives * Advancing ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Nebraska

Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai platform engineer in Nebraska is $60.98, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $70.38 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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

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

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

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

What cities in Nebraska are hiring for Ai Platform Engineer jobs?

Cities in Nebraska with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Nebraska as of August 2026, with employment types broken down into 55% Full Time, 42% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $126,834 per year, or $61 per hour.

AI Engineer

penlink

Lincoln, NE • On-site

Full-time

Re-posted 7 days ago

Job description

Penlink is a technology company bringing clarity to complex data for people who need it now. We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but really, it’s about improving the world and keeping safe the places we call home.

We focus on creating products that positively impact our communities and being "in the mission" and less about the laidback culture and amazing benefits – even though we offer those too. With our get it done attitude and focused mission we are growing at an unprecedented rate and are therefore seeking an AI Engineer to design, build, and ship AI-powered features in production. You’ll work across the stack from prompt design and model integration to evaluation, deployment, and optimization. You’ll partner closely with product, design, and engineering to turn business needs into reliable AI systems.

This role is a great fit if you enjoy working at the intersection of applied machine learning and product engineering, and you’re comfortable iterating in a space where the tools and best practices are still evolving quickly.

YOUR RESPONSIBILITIES

  • Design, develop, and implement AI-powered features and applications
  • Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives
  • Integrate AI models into existing applications and backend systems through APIs and scalable architectures
  • Build and maintain data pipelines, including collecting, cleaning, preparing, and validating datasets for model training and evaluation
  • Monitor, evaluate, and maintain model performance through testing, benchmarking, and performance metrics
  • Optimize AI systems for scalability, latency, reliability, and cost efficiency
  • Collaborate cross-functionally with Product, Design, and Engineering teams to translate business needs into practical AI-driven solutions
  • Contribute to continuous improvement efforts surrounding AI development processes, tooling, and best practices
  • Communicate AI capabilities, limitations, and recommendations clearly to both technical and non-technical stakeholders
  • Promote responsible AI practices by considering model bias, ethical implications, and system transparency throughout development

Requirements:

YOUR COMPETENCIES & EXPERIENCE

  • 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems
  • Demonstrated experience delivering at least one AI-powered product or feature to end users in a production environment
  • Strong programming skills, particularly in Python
  • Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Familiarity with large language model ecosystems and tools including prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines
  • Experience fine-tuning and evaluating machine learning or large language models
  • Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments
  • Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies
  • Excellent written and verbal communication skills, including the ability to explain AI concepts and model behavior to non-technical audiences
  • Understanding of AI limitations, bias mitigation, and ethical considerations related to machine learning systems
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

This position currently follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.