Senior Manager, Intelligence Systems Lab

OverviewDevelop agentic AI systems using rigorous evaluation science; implement reasoning, planning, memory, and generalization capabilities; build benchmarking methodologies to assess agent performance.Support cross-functional stakeholders in Commercial, Manufacturing, Clinical Development, and Research.ResponsibilitiesResearch reasoning/planning/memory/generalization architectures for AI and multi‐agent systems; build cognition frameworks (abstraction, goal decomposition, adaptive planning).
Design and run benchmarking/evaluation experiments; create evaluation datasets, test harnesses, and measurement frameworks; apply experimental design and statistical analysis.Engineer and deploy agentic solutions: multi‐agent systems (e.g., Strands, LangGraph, DSPy), RAG applications, knowledge graphs, conversational AI, and autonomous workflows.Rapid prototype and translate research into production‐ready capabilities; document research and technical methods.Collaborate cross‐functionally;...