Data and Analytics - AI Engineer II
Role details
Job location
Tech stack
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