Design and deploy AI systems that convert unstructured healthcare, scientific, and financial information into decision-relevant insights. Own applied AI projects from problem definition through deployment, evaluation, and improvement, using NLP, RAG, knowledge graphs, embeddings, entity extraction, and agentic systems. Develop evaluation frameworks, ensure data quality and reproducibility, and collaborate with investment professionals and senior stakeholders to support investment research and decision-making.

The AI Engineer will develop AI/ML solutions for investment analysis, design applications, optimize models, and work with large datasets in healthcare and finance contexts.

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.