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Ai Platform Engineer Jobs in Nebraska (NOW HIRING)

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

Senior AI Engineer As a Senior AI Engineer, you will utilize your advanced professional expertise ... Create and design solutions for new features, subsystems, modules, systems, or platforms that may ...

Collaborating with data architects, platform and DevOps engineering teams, product leaders, and governance specialists, you'll enable analytics, AI, and domain-driven data products across the ...

Platform Engineering & Innovation * Self-Healing Systems: Architect and maintain performant ... Drive the adoption of emerging technology, including Generative and Agentic AI, across the platform.

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Sep 3, 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:

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.

Data and Analytics - AI Engineer II

Woodmenlife

Omaha, NE โ€ข On-site

$100 - $140/hr

Other

Re-posted 7 days ago


Job description

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America โ€ข

Omaha, NE, USA

Job Description

Posted Thursday, August 27, 2026 at 5:00 AM

Requisition Job Title: AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office (Hybrid โ€“ Omaha, NE preferred)

PLEASE NOTE: WoodmenLife will not sponsor applicants for work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.

To be considered for this position, applicants must submit a resume that includes their full name, current residential address, email address, and phone number. Resumes that do not contain all required contact information will not be considered.

Role Overview How This Role Fits into WoodmenLife

This role is part of a newly formed AI team within the Data & Analytics function, currently consisting of an AI Engineer Lead (III), Data Scientist I, and an AI Engineer intern. The team works closely with the Data Analytics team s and stakeholders across Business Technology to deliver enterprise AI capabilities.

The AI Engineer II plays a critical role in building and deploying scalable, production-grade AI solutions that support core business functions. This position helps drive WoodmenLifeโ€™s transformation into an AI-first organization, modernizing processes across underwriting, claims, customer experience, and risk assessment.

Why Youโ€™ll Love This Role

WoodmenLife is seeking an AI Engineer II to help bring AI solutions from concept to reality across the enterprise. In this role, youโ€™ll build systems that go beyond experimentationโ€”delivering real, measurable business impact.

This position is ideal for someone passionate about applying AI in production environments, solving meaningful business problems, and working across a modern cloud-based ecosystem. Youโ€™ll gain exposure to end-to-end AI delivery, collaborate with crossโ€‘functional teams, and play a foundational role in scaling AI capabilities across the organization.

WoodmenLife offers a supportive, collaborative environment that encourages growth, innovation, and continuous learning.

This is the Life (WoodmenLife)

As a not-for-profit life insurance company, WoodmenLife is devoted to protecting the financial futures of families and making a difference in hometowns across America. With over 13 5 years of success, our commitment extends beyond our membersโ€”we invest in our associates.

We provide an environment that encourages professional growth, creativity, and innovation, while supporting meaningful work that directly impacts our members and communities.

What Youโ€™ll Do Key Functions
  • Design and develop AI/ML solutions aligned with business objectives
  • Build and deploy RAG augmented CoPilots into enterprise production environments
  • Develop data pipelines and infrastructure to support AI workloads
  • Monitor model performance and implement continuous improvements
  • Ensure AI solutions meet security, compliance, and governance standards
Day-to-Day Responsibilities
  • Design and build AI/ML solutions for various business units
  • Design and i ntegrate Agentic processes into enterprise systems and workflows
  • Maintain and optimize data pipelines for training and inference
  • Monitor model accuracy, drift, and performance metrics
  • Collaborate with cross-functional teams to deliver scalable solutions
  • Participate in code reviews, documentation, and best practice development
  • Build prototypes, MVPs, and production-ready AI applications
  • Develop agentic workflows and intelligent automation solutions
  • Implement APIs and services for agent integration
  • Apply AIOps/ MLOps practices for deployment, monitoring, and lifecycle management
  • Partner with Data Teams , IT, and business stakeholders
  • Contribute to enterprise AI strategy and adoption
  • Stay current with emerging AI tools and technologies
  • Promote responsible AI practices including fairness, explainability, and compliance
Tools & Technologies

Languages: Python, SQL, C#

Frameworks: TensorFlow, PyTorch , ML.NET

Data Platforms: Snowflake (preferred), SQL Server, Fabric

Projects & Initiatives
  • Advancing enterprise AI/ML capabilities and platforms
  • Building intelligent automation and agent-based workflows
  • Strengthening the organizationโ€™s data and AI foundation
  • Driving responsible AI governance and compliance practices
  • Expanding AI adoption across business functions
Qualifications Minimum Qualifications
  • Bachelorโ€™s degree in Computer Science , Data Science, or related field
  • 3โ€“5 years of experience developing AI/ML solutions in production environments
  • Strong programming skills in Python, SQL, and C#
  • Experience with machine learning, deep learning, or NLP
  • Experience with cloud platforms and MLOps practices
  • Strong analytical, problem-solving, and communication skills
  • Ability to manage multiple priorities and meet deadlines
Preferred Qualifications
  • Experience in insurance or financial services
  • Familiarity with underwriting, claims, or risk workflows
  • Experience with Microsoft technology stack and Snowflake
  • Exposure to responsible AI and governance frameworks

AI Engineers may advance to AI Engineer III, with opportunities to expand into senior engineering, architecture, or AI leadership roles as the organization continues scaling its AI capabilities.

Operational Considerations

This is a hybrid role based in Omaha, NE. Candidates should be able to work onโ€‘site as needed to support team collaboration and strategic initiatives.

Leadership Insight

Leadership style is people-centered, focusing on understanding individual strengths, empowering ownership, and fostering a collaborative environment where team members can grow and succeed.

WoodmenLife offers a competitive compensation and benefits package. Learn more: https://www.woodmenlife.org/careers/home-office/benefits/ . Employment is contingent upon successful completion of background checks, which may include criminal, credit, fingerprinting (where required ), drug screening, and reference checks. WoodmenLife is committed to creating an inclusive environment that values diverse perspectives and provides equal opportunities for growth, leadership, and service .

WoodmenLife Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America,

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