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
- Develop, test, and optimize machine learning models and AI agents using Python.
- Contribute to building LLM-based solutions, including basic RAG workflows, embeddings, prompt engineering, and evaluation.
- Participate in the development of PoCs and early-stage prototypes, helping transform exploratory ideas into working solutions.
- Support the integration of models or agents into applications or pipelines under the guidance of senior engineers.
- Collect, clean, and transform datasets from various sources to ensure high-quality model inputs.
- Conduct exploratory data analysis (EDA) to identify patterns, validate hypotheses, and support informed decision-making.
- Prepare clear documentation of data processes, model behavior, and experimental findings.
- Work with cross-functional teams to understand business challenges and translate them into AI tasks.
- Build visualizations and analytical summaries using tools such as Plotly or Matplotlib.
- Present results to both technical and non-technical stakeholders in a clear and structured manner.
Requirements
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
- 1-2 years of experience in applied machine learning, AI development, data science, or similar roles.
- Python skills for data work and model development.
- Working knowledge of SQL.
- Experience with ML libraries such as scikit-learn, pandas, NumPy.
- Familiarity with GenAI concepts including LLMs, embeddings, RAG, or basic parameter tuning.
- Basic understanding of agent frameworks, or strong willingness to learn (e.g., LangChain, Agent SDK).
- Experience using Git and standard ML tooling.
- Nice to Have: Experience with vector databases, Dataiku, Snowflake, or cloud platforms.
- Exposure to Power Apps / Power Automate.
- Understanding of model evaluation, prompt testing, or experiment tracking.
- Upper-intermediate English proficiency.
Benefits
- Mentorship from senior AI engineers, with a clear growth path toward mid-level roles.
- Exposure to cutting-edge GenAI tools, LLM frameworks, and agent-based architectures.
- Opportunities to work on meaningful PoCs and innovative AI initiatives.
- A supportive environment that encourages experimentation, learning, and rapid skill development.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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