Applied AI Engineer

Design and evolve reusable GenAI workflow primitives and services used across Institutional Securities workflows.
Develop AI-powered assistants embedded into core Institutional Securities applications, leveraging agentic and tool-driven workflows.
Define and guide GenAI architecture decisions, including model selection, orchestration patterns, and evaluation strategies.
Establish and evolve LLMOps practices, including evaluation harnesses, prompt/version management, monitoring, and regression testing.
Design and implement controls for entitlements, data security, and PII handling, including usage of open-source models in regulated environments.
Partner with business and platform teams to drive adoption of shared GenAI capabilities across systems and workflows.