AI Engineer II

WoodmenLife

AI Engineer II building and deploying AI solutions for WoodmenLife. Contributing to enterprise AI capabilities and collaborating with cross-functional teams.

Posted 7/30/2026full-timeOmaha • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI/ML solutions, with a strong focus on building and deploying scalable applications in production environments. Proficient in implementing AIOps/MLOps practices and ensuring compliance with security and governance standards.

Highest-signal resume keywords

AI/ML Solution DevelopmentPython ProgrammingMLOps PracticesData Pipeline DevelopmentCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Solution DevelopmentPython ProgrammingSQL ProgrammingC# ProgrammingMachine LearningDeep LearningNatural Language ProcessingData Pipeline DevelopmentModel Performance MonitoringAPI Implementation

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsTime ManagementCollaboration

Tools & Technologies

Cloud PlatformsMicrosoft Technology StackSnowflakeAIOpsMLOps

Industry Keywords

InsuranceFinancial ServicesUnderwritingClaimsRisk WorkflowsResponsible AIGovernance Frameworks

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

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
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
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
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

Requirements

What you’ll need

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: Experience in insurance or financial services
Preferred: Familiarity with underwriting, claims, or risk workflows
Preferred: Experience with Microsoft technology stack and Snowflake
Preferred: Exposure to responsible AI and governance frameworks

Benefits

Comp & perks

Supportive, collaborative environment
Professional growth opportunities
Encouragement of creativity and innovation