AI
American Family InsuranceDistinguished AI Architect
AI Architect developing data and AI architecture solutions for American Family Insurance. Leading integration design and participating in M&A discussions to achieve business outcomes.
About the role
- Design and develop full stack applications using .NET and Python (FastAPI) on the backend and React (or similar) on the frontend
- Architect and implement cloud-native microservices that are scalable, secure, and performance-optimized
- Build and maintain integrations with NoSQL databases (Cosmos DB, MongoDB) for structured and unstructured data
- Deploy and operate applications on Azure using App Services, Functions, API Management, Cognitive Services, and CI/CD pipelines
- Design, fine-tune, and integrate AI/ML models (including LLMs) into applications to solve business problems
- Develop and maintain data pipelines to prepare, transform, and manage datasets for AI workflows
- Implement MLOps practices: monitoring, versioning, retraining, and deployment of models in production
- Leverage AI-assisted coding tools to boost productivity and maintain high-quality code
- Collaborate with product managers, data scientists, QA, DevOps, and subject matter experts to deliver AI-powered solutions
- Ensure application reliability, security, and ethical AI practices through automated testing, monitoring, and governance
Requirements
- 3+ years of experience in full stack development and/or AI engineering
- Backend: .NET, C#, Python (FastAPI), RESTful APIs, microservices architecture
- Frontend: React (or similar frameworks), TypeScript, modern UI/UX patterns
- Cloud: Microsoft Azure (App Services, Functions, Cognitive Services, AI Search, Monitoring)
- Databases: SQL Server, Cosmos DB, MongoDB
- Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) or LLM APIs (Azure OpenAI, Hugging Face)
- Familiarity with AI-assisted development tools (Cursor, GitHub Copilot)
- Hands-on experience with Git, Docker (containerization), and automated CI/CD pipelines
- Strong understanding of software design principles, system architecture, and secure coding practices
- (Nice to have) Experience with enterprise-scale AI adoption, legacy system modernization, Agile/Scrum, technical documentation, AI governance, publications or community contributions
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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