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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data and Analytics - AI Engineer II - **Company:** WoodmenLife - **Location:** Omaha, NE, United States (Remote available) - **Experience:** Experienced - **Salary:** $107,215.0 - $150,401.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Code Review, Computer Programming, Python (Programming Language), 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 - **Published:** May 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=562e88c9fb8d5b69 ## About the Role 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 ## 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. ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)