Advance multiplayer agentic harness for collaboration with context, permissions, and accountability

Design multi-agent workflows using orchestration and actor models

Build shared task and state management for reliable work movement

Integrate agents deeply with professional services firm systems

Capture expert interactions as learning signals

Build memory and continual learning systems for agents

Improve evaluation frameworks connecting agent performance to economic outcomes

Build dynamic collaborative interfaces for people and agents

Define new delegation, monitoring, and approval methods across teams and clients

Provide firm leaders live operational views connecting priorities and ownership

Member of the Technical Staff

Responsibilities