Data and Analytics - AI Engineer II
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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 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
- 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
Benefits
- competitive compensation and benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
