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
- Lead the design and execution of data science and AI initiatives from ideation to prototype
- Build, train, and evaluate LLM-based models and pipelines, including RAG and fine-tuning approaches
- Develop high-quality, well-documented Python code and reusable components for experimentation
- Collaborate with AI/ML engineers and software developers to move prototypes toward production readiness
- Design and maintain experimentation frameworks and model evaluation protocols
- Guide data exploration, feature engineering, and data quality assessments
- Stay at the forefront of research in LLMs, multi-agent systems, and applied generative AI
- Provide technical mentorship to junior team members and help shape the data science culture
- Communicate insights, results, and recommendations clearly to both technical and non-technical audiences
Requirements
- Strong proficiency in Python and modern data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, Plotly)
- Proven experience in AI/ML model development, with hands-on exposure to LLMs, RAG pipelines, and/or fine-tuning
- Solid understanding of machine learning principles, NLP, and deep learning architectures
- Experience designing and implementing proof-of-concept and prototype solutions
- Familiarity with vector databases, embedding models, and prompt engineering techniques
- Experience with data processing, feature engineering, Data Labeling and evaluation metrics
- Strong problem-solving and experimentation mindset; ability to move fast and iterate
- Excellent communication skills and ability to work collaboratively in a fast-moving R&D environment
- Exposure to cloud environments (AWS, GCP, or Azure) and MLOps practices
- (Nice to have) Experience leading small teams or mentoring other data scientists and/or machine learning engineers
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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