AACI Group, Inc. is dedicated to making insurance more accessible and affordable in catastrophe-prone regions. They are seeking a Staff AI/ML Engineer to design and build machine learning systems that enhance their AI-native insurance platform, focusing on the full ML lifecycle and improving quoting, underwriting, and loss prevention outcomes.
Responsibilities:
- Own the design, training, evaluation, and deployment of ML models that power carrier appetite scoring, quote prioritization, property risk profiling, and marketing targeting
- Build production data and ML pipelines integrating internal indication/declination data, carrier feedback, and third-party sources
- Apply modern LLM tooling to structured and unstructured insurance workflows, including property attribute extraction, document parsing, and agentic automation
- Partner closely with Product and Operations to ship models into customer-facing and internal tools, and define the metrics that prove they are working
- Establish engineering best practices for ML at AACI: experiment tracking, model versioning, monitoring, reproducibility, and data governance
- Collaborate with Engineering leadership on cloud-native architecture decisions and with Data Science on analytical foundations; help recruit and mentor future ML and data hires
- Ensure ML systems comply with insurance regulations, data security requirements, and ethical standards for automated decisioning