Data and Analytics - AI Engineer II

AI Engineer II (Hybrid) YOU MUST CURRENTLY BE IN OMAHA AREA!

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

Why You’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, 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.

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 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: TensorFlow, PyTorch, ML.NET


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 learning, or NLP

Experience with cloud platforms and MLOps practices

Strong analytical, problem-solving, and communication skills

Ability to manage multiple priorities and meet deadl