Build reusable LLM and generative AI workflows for Chubb’s global Finance Transformation program, using Python, MLOps, and contemporary AI frameworks. This full-time position supports enterprise finance capabilities. The AI Engineer develops scalable solutions for close, reconciliation, reporting, anomaly detection, and related controllership processes. You will work across Finance, IT, Global Analytics, Legal, Compliance, Security, Enterprise Architecture, and Risk. The focus is production delivery, model lifecycle management, and compliant-by-design implementation.
Key Responsibilities
Develop LLM and generative AI workflow pipelines Apply CI/CD, versioning, testing,
and model governance Translate finance requirements into robust technical solutions Identify automation opportunities using NLP and predictive analytics Track progress and communicate stakeholder issues
Requirements:
Two to five years of AI Engineering or Machine Learning experience Deep production Python coding and review expertise LLM lifecycle knowledge, including tuning and deployment Experience with cloud platforms and high-throughput architectures Strong data engineering, NLP, and large-scale dataset fundamentals Bring LLM engineering, Python, and MLOps capabilities to compliant global finance transformation initiatives.