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 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.