Engineering, computer science, data science, or machine learning background Understanding of AI infrastructure, model training, deployment, and MLOps Familiarity with prompt engineering, fine-tuning, and LLM customization Knowledge of RAG (Retrieval-Augmented Generation), agents, and advanced AI architectures Experience in enterprise SaaS, B2B, or B2B2C product management Track record in regulated industries (finance, healthcare, enterprise) or compliance-heavy environments Previous experience with platform or ecosystem products Demonstrated understanding of AI safety, fairness, bias mitigation, governance and responsible AI frameworks Knowledge of AI ethics principles and ability to operationalize them in product decisions Experience with generative AI, LLMs, or conversational AI products Experience with large language models (LLMs), transformers, and generative AI systems Expertise in RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering Experience designing AI agents and multi-step reasoning systems Knowledge of model compression, quantization, and inference optimization Familiarity with reinforcement learning or other advanced ML techniques Experience designing and operating ML platforms (Kubeflow, MLflow, SageMaker, Vertex AI, etc.) Expertise in model serving and inference optimization (TensorFlow Serving, Triton, etc.) Experience with feature stores and feature engineering platforms Knowledge of monitoring, observability, and alerting for ML systems Experience with infrastructure-as-code and CI/CD pipelines for ML Who WE are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business property, casualty, professional, financial lines and specialty.