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
- Assist in gathering requirements and understanding business challenges to help frame them as data problems
- Support the identification and collection of relevant data sources for analysis and model development
- Perform basic exploratory data analysis (EDA) to check data quality and uncover initial insights
- Contribute to building and testing machine learning models under guidance from senior team members
- Collaborate with engineers to learn how models are deployed and maintained in production environments
- Prepare clear and simple visualizations or summaries to communicate findings to the team
- Participate in team discussions on best practices for experimentation and reproducibility
- Stay curious and keep learning about new developments in data science, machine learning, and LLMs
Requirements
- Good understanding of Python and its data ecosystem (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
- Good understanding of machine learning algorithms and statistical modeling
- Good understanding of databases (SQL and/or NoSQL) and data manipulation at scale
- Proven ability to translate business problems into data science solutions and communicate results effectively
- Familiarity with LLMs (Large Language Models) — experience fine-tuning, prompting, or integrating them into applications is a plus; strong interest in this area is essential
- Ability to translate business problems into AI solutions and communicate results effectively
- Knowledge of data quality assessment, feature engineering, and model evaluation techniques
- Experience with modern development practices (version control, testing, documentation)
- A collaborative mindset, curiosity, and willingness to experiment and learn in a fast-moving environment.
- Degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline (advanced degree preferred)
Benefits
- Be a pioneer: Join a brand-new AI team and become one of the first engineers shaping its future
- Flexibility: Enjoy flexible working hours and a hybrid setup
- Global exposure: Work with stakeholders across multiple offices worldwide
- Cutting-edge tech: Experiment with emerging AI technologies, including LLMs and innovative approaches
- Collaboration: Partner with diverse teams and contribute to exciting, high-impact projects
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