Head Of Ai Research
Core
Define the research agenda for AI reliability, agentic systems, and enterprise trust within a deterministic verification architecture.
Role type
Principal AI Researcher (Agentic Systems & Trust)
Builds
Agentic architectures, memory/retrieval systems, and evaluation frameworks for high-stakes financial research workflows.
Domain
Artificial Intelligence / Financial Technology
Deliverable
production ML models
Required skills
LLMs, agentic systems, retrieval systems, memory architectures, transformer architectures, attention mechanisms, RAG, memory-augmented systems
Preferred skills
Building and leading research teams in high-stakes environments, identifying technically interesting and practically important problems
Technologies
NeurIPS, ICML, ICLR, open-source work
Responsibilities
Define the research agenda at the intersection of AI reliability and enterprise trust; Pioneer agentic architectures for task planning and multi-step reasoning; Advance memory and retrieval for reasoning over millions of documents; Build evaluation frameworks for agent quality and reliability; Ship research to production systems used by financial institutions; Build and lead the research team; Publish and represent Kepler at top venues; Collaborate with founders on technical strategy and product direction.