Data and Analytics - AI Engineer II

AI Engineer II (Hybrid)

Requisition

Job Title:

AI Engineer II
Division:
Business Technology
Department:
Data & Analytics

Location:

Home Office (Hybrid - Omaha, NE preferred)

Role Overview

How This Role Fits into Woodmen Life

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 teams 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.

Why You'll Love This Role

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 135 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.

What You'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 integrate 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

AI Engineering & Delivery

• 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

Collaboration & Continuous Improvement

• 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:
  Tensor Flow, PyTorch,

• Cloud Platforms:
  Azure

• Tools:
  Power Automate, AI Foundry, Power Platform

• 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 organization's data and AI foundation

• Driving responsible AI governance and compliance practices

• Expanding AI adoption across business functions

Qualifications

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field

• 3-5 years of experience developing AI/ML solutions in production environments

• Strong programming skills in Python, SQL, and C#

• Experience with machine learning, deep…