The role will partner directly with business stakeholders to assess end-to-end functions (aligned to business domains such as Sponsor Finance or other investment teams, Investor Partners Group, Back Office or other core areas of the Firm), challenge traditional operating assumptions and redesign workflows, decision-making processes and operating models through the practical application of artificial intelligence. Deep understanding of modern AI capabilities, architectures and design patterns, including AI agents, enterprise context layers, Model Context Protocol (MCP), context engineering, harness engineering, knowledge grounding strategies, model evaluation frameworks, tool integration patterns, reasoning models and human-in-the-loop systems, with the ability to apply these concepts to redesign business processes and operating models.