AI Platform Engineer
Great American Insurance GroupCincinnati, Ohio, United States
Posted April 30, 2026
Full Time
About the Company
For more than 150 years, customers have trusted us to protect what matters most to them. Great American Insurance Groupās roots go back to 1872 with the founding of its flagship company, Great American Insurance Company. Our innovative and specialized insurance solutions are designed to serve niche marketplaces that we know well. With our deep expertise and financial strength, we have laid a foundation of success that has stood the test of time. Based in Cincinnati, Ohio, the operations of Great American Insurance Group are engaged in property and casualty insurance. With more than 30 specialty property and casualty insurance businesses, weāre well-positioned to offer tailored insurance solutions to meet businessesā unique needs. Great American Insurance Company has received an "A" (Excellent) or higher rating from the AM Best Company for 115 years (most recent rating evaluation of "A+" (Superior) affirmed December 11, 2024). The members of Great American Insurance Group are subsidiaries of American Financial Group, Inc. (AFG), also based in Cincinnati, Ohio.
Job Description
The AI Platform Engineer is a hands-on engineering role building and operating the enterprise AI platform that powers our Software Developer, Data Scientist, and Knowledge Worker communities. You will design, implement, and run the platform services that make LLMs, RAG systems, and MCP servers safely consumable across the enterprise.
Requirements
- 5+ years of software engineering experience with a strong development background
- Hands-on experience with AI Foundry (or equivalent enterprise AI platforms) including model deployment, evaluation, and lifecycle management
- Practical experience building RAG systems end-to-end: embeddings, vector databases (e.g., pgvector, Pinecone, Weaviate, Azure AI Search), retrieval tuning, and evaluation
- Working knowledge of MCP server implementation and the patterns for exposing tools and data to LLMs safely
- Strong DevOps practice: Git-based workflows, CI/CD pipelines, containers, Kubernetes, IaC (Terraform or equivalent), and observability tooling
- Familiarity with LLM APIs, prompt engineering, token economics, and the failure modes of production LLM systems
- Security and governance instincts: you assume every endpoint will be attacked and every model call will be audited
- Platform engineering mindset: you build self-service capabilities with golden paths, not bespoke solutions for each consumer
- Prefer familiarity with the P&C Insurance industry
Benefits
- medical, dental, and vision coverage
- wellness plans
- parental leave
- adoption assistance
- tuition reimbursement
- Paid Time Off
- paid holidays
- 401(k) plan with company match
- employee stock purchase plan
- commuter benefits
