Data and Analytics - AI Engineer II at WoodmenLife

Omaha, Nebraska, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

150401.0

Posted On

28 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, C#, TensorFlow, PyTorch, ML.NET, Azure, Snowflake, MLOps, RAG, NLP, Deep Learning, Agentic Workflows, Power Platform, AI Foundry, Data Pipelines

Industry

Insurance

Description

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 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 Career Growth 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. 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.

Responsibilities

Design and deploy scalable, production-grade AI/ML solutions and RAG-augmented CoPilots to modernize business processes. Develop data pipelines and implement AIOps/MLOps practices to ensure model performance and governance.