Lead the design of a cryptographically secure, immutable knowledge‑base that turns every embedding into a verifiable artifact. Your work will become the foundation for trust, compliance, and self‑healing in our multi‑agent AI ecosystem.
You will pioneer the first end‑to‑end cryptographic provenance chain for semantic embeddings, blending cutting‑edge blockchain primitives with vector‑store internals—an uncharted intersection of AI and secure systems.
Cryptographic Provenance of Embeddings and Immutable Audit Trail
From: Retrieval Unreliability and Knowledge Base Corruption
The backbone of the proposed RAG architecture relies on tamper‑evident signatures and a permissioned ledger to guarantee that every vector and every retrieval trace is verifiable and recoverable. This role will design and implement the ingestion, signing, and ledger integration that turns abstract embeddings into cryptographically auditable artifacts.
A production‑grade ingestion service that hashes, timestamps, and signs each embedding with a blockchain oracle; a permissioned blockchain layer that records immutable retrieval traces and rollback checkpoints; and tooling for automated audit‑trail validation and rollback orchestration.
PhD or Master’s in Computer Science, Electrical Engineering, or Mathematics with specialization in cryptography, secure systems, or distributed ledger technologies.
Within 12 months, deliver a fully operational ingestion‑to‑ledger pipeline that reduces vector‑level poisoning incidents by >90% and enables instant rollback for any detected corruption, while providing audit logs that satisfy regulatory compliance.
Lead the expansion of the provenance framework to multi‑tenant, cross‑domain deployments, and evolve the ledger into a unified trust fabric for all downstream AI services.
If this sounds like the challenge you have been looking for, we want to hear from you. We value what you can build over where you have been.