The role involves designing and delivering an AI-powered compliance screening platform for regulated communications. The engineer will architect multimodal ingestion, retrieval-augmented generation, and reasoning systems using large language models. Responsibilities include setting technical strategy, establishing risk controls, and ensuring system explainability and auditability. The position requires mentoring a team while collaborating with compliance, legal, and product stakeholders. The work focuses on advancing reliable compliance intelligence for financial use cases.

The role requires at least 8 years of experience in software engineering or machine learning with a focus on production AI delivery. Candidates must possess expertise in NLP, large language models, retrieval-augmented generation, and multimodal AI. Proficiency in Python, cloud platforms, and MLOps is necessary, along with experience in document processing pipelines and explainable AI. A Bachelor's or Master's degree in Computer Science, AI, ML, or a related field is required, while a PhD is preferred.