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Cincinnati, Ohio, United States
Hybrid
Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

The AI Innovation Lab serves as the organization’s proving ground for emerging artificial intelligence technologies. This role focuses on applied AI research tied directly to real business needs, rather than academic research or traditional software development. The technologist evaluates, prototypes, and validates AI solutions, determining which technologies are ready for enterprise adoption and which are not. Successful proofs‑of‑concept are transitioned to IT delivery teams for production implementation.
This role is ideal for someone who thrives on variety, rapid learning, and experimentation, and who enjoys working at the intersection of advanced technology, business problem‑solving, and enterprise systems.
Great American’s culture is built on connection, shared learning, and strong relationships. This is a hybrid role that combines in-office and remote work. Employees are expected to maintain a meaningful on-site presence to support collaboration, relationship building, and business success.
Essential Job Functions & Responsibilities
Evaluate emerging AI technologies (e.g., agent frameworks, RAG architectures, AI orchestration patterns) against business needs and enterprise constraints
Build rapid prototypes to demonstrate technical feasibility and business value
Document findings, including both successful and unsuccessful experiments, to guide enterprise AI direction
Partner with Enterprise Architecture to ensure alignment with API‑first and production‑ready design principles
Enable business‑side data science capabilities through self‑service tools and analytics environments
Implement and assess agent frameworks, Model Context Protocol (MCP) integrations, and AI workflows
Communicate complex technical concepts clearly to business stakeholders and executive audiences
Mentor team members and contribute to a culture of continuous learning and innovation
Job Qualifications
Bachelor’s degree in Computer Science, Statistics, or related fields. 3 or more years of demonstrated AI/ML expertise.
Strong Python programming skills and experience with ML frameworks (e.g., PyTorch, TensorFlow)
Proven ability to build working prototypes, not just theoretical models
Strong learning agility and objective evaluation skills for new technologies
Understanding of API design and enterprise system integration
Excellent written and verbal communication skills
Intellectual curiosity and comfort operating in ambiguous, evolving environments
Preferred Qualifications
Experience in insurance, financial services, or other regulated industries
Hands‑on experience with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)
Familiarity with Model Context Protocol (MCP) or similar integration standards
Experience with Microsoft Azure cloud services
Exposure to actuarial, underwriting, or claims workflows
Understanding of enterprise architecture and production constraints
Experience transitioning prototypes or research initiatives into production teams
Python, Java, Microsoft Azure, REST APIs, LLM APIs and gateways, vector databases, agent frameworks, Docker/Kubernetes, SQL and NoSQL databases. Tooling will evolve over time—adaptability is more important than expertise in any single platform.
Business Unit:
Property & Casualty IT ServicesBenefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.