Data and Analytics - AI Engineer II

Woodmen Life Home Office, 1700 Farnam Street, Omaha, Nebraska, United States of America •

Omaha, NE, USA

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 – Omaha, NE preferred)

PLEASE NOTE:
Woodmen Life 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.

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 Woodmen Life’s transformation into an AI-first organization, modernizing processes across underwriting, claims, customer experience, and risk assessment.

Woodmen Life is seeking an AI Engineer II to help bring AI solutions from concept to reality across the enterprise. In this role, you’ll build systems that go beyond experimentation—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. You’ll gain exposure to end-to-end AI delivery, collaborate with cross‑functional teams, and play a foundational role in scaling AI capabilities across the organization.

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

This is the Life (Woodmen Life)

As a not-for-profit life insurance company, Woodmen Life 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 members—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.

• 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

• 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

Languages:

Python, SQL, C#

Frameworks:
Tensor Flow, PyTorch ,

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

• Advancing enterprise AI/ML capabilities and platforms
• Building intelligent automation and agent-based…