AI Application Engineer

Overview

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.

P&C IT Services provides professional services to help our business units and corporate functions use technology to create, manage, and optimize information and business processes. IT Services can include a wide range of activities such as: software development, data management, Cloud services, IT security, network security, technical support, establishing and overseeing access rights, procuring and maintaining equipment or software, managing the infrastructure, and defining security procedures.

The overall goal of IT Services is to provide technology solutions that increase efficiency, reduce costs, and give our company a competitive advantage over our competitors.

Great American’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site a minimum of two days a week if local to Cincinnati, with the potential to work three days remotely. Core in‑office days are Tuesday and Thursday but will be determined by business needs.

The Application Engineer for AI & Automation Solutions develops modern AI-based automation components supporting enterprise workflows, business units, and enterprise AI products owned by the AI/Automation Hub. This role builds solutions in M365 Copilot Studio, Power Platform, and the Azure ecosystem, integrating enterprise datasets and implementing AI-assisted process automation. The engineer collaborates with TPMs, architects, and business partners to design, build, test, and deploy compliant, scalable, and secure AI-enabled automations within an Agile SDLC.

• Build and configure AI-driven automation solutions using Copilot Studio, declarative agents, Power Automate, Power Apps, Azure Functions, and supporting Azure services.
• Construct and maintain context layers, vector stores, and data pipelines required to ground AI experiences on enterprise data sources.
• Develop automations that enhance workflow efficiency, decision support, and employee experience.
• Contribute to Agile ceremonies, backlog grooming, sprint planning, and product increments.
• Write technical documentation, requirements, tests, and deployment artifacts.
• Apply Dev Ops principles, source control, and CI/CD practices for automation solutions.
• Ensure development follows enterprise compliance, responsible AI, security, and data governance frameworks.
• Conduct impact assessments, risk evaluations, and readiness checks for AI automations.
• Partner with TPMs to translate business needs into technical designs and solution patterns.
• Provide technical support, enhancements, and troubleshooting for automations in production.
• Support user onboarding into prompt engineering and best practices in AI solution consumption.

• Bachelor’s degree in IT, Computer Science, Engineering, or related field; or equivalent experience.
• Typically 3–10 years of application engineering, automation engineering, or software development experience.

• Experience with AI services, LLM prompting, and integration of enterprise data with AI solutions.
• Strong development skills across Azure services, Power Platform components, APIs, and workflow automation.
• Understanding of application architecture, data repositories, and enterprise integration patterns.
• Familiarity with workflow analysis, process optimization, and automation patterns.
• Insurance domain knowledge preferred.