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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Application Engineer - **Company:** Great American Insurance Company - **Location:** United States - **Experience:** Experienced - **Salary:** $84,400.0 - $115,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Applications Architecture, Microsoft Azure, Continuous Integration, Data Governance, Data Stores, Decision Support Systems, DevOps, Scrum Methodology, Software Engineering, Enterprise Data Management, Enterprise Application Integration, Microsoft Power Automate, Large Language Models, Prompt Engineering, Information Technology, Software Version Control, Serverless Computing, Powerapps - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d75bd944524d4565 ## About the Role * 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. Technical Skills * 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. Professional Skills * Strong analytical and problem solving ability. * Ability to work in Agile teams and collaborate cross-functionally. * Strong communication skills for technical and business audiences. ## Description 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 DevOps 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. ## Related Videos - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) - [Giving the individual control of their data: Open Source Decentralized Web Nodes](https://www.wearedevelopers.com/videos/1100-giving-the-individual-control-of-their-data-open-source-decentralized-web-nodes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)