Data and Analytics - AI Engineer II

WoodmenLife
Omaha, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 150K

Job location

Remote
Omaha, United States of America

Tech stack

Artificial Intelligence
Azure
C Sharp (Programming Language)
Code Review
Computer Programming
Python
Machine Learning
Microsoft Software
Microsoft SQL Server
TensorFlow
SQL Databases
Web Services
Microsoft Power Automate
PyTorch
Snowflake
Deep Learning
Build Management
Information Technology
Data Analytics
Data Management
Machine Learning Operations
Data Pipelines

Job description

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., 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, 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 on-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.

Requirements

Do you have experience in Machine intelligence?, Do you have a Bachelor's degree?, 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 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

Benefits & conditions

3.73.7 out of 5 stars Omaha, NE Hybrid work $107,215 - $150,401 a year - Full-time

About the company

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., 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.

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