You will design and operationalize a centralized multimodal memory architecture spanning vector retrieval, knowledge graphs, and governance frameworks
Job Summary
You will design and operationalize a centralized multimodal memory architecture spanning vector retrieval, knowledge graphs, and governance frameworks.
This role sits at the intersection of AI engineering, distributed systems, and applied intelligence to lead strategy for enterprise knowledge representation.
You will champion responsible AI development by ensuring all systems meet regulatory requirements, ethical standards, and privacy obligations.
Matching Summary
You will design and operationalize a centralized multimodal memory architecture spanning vector retrieval, knowledge graphs, and governance frameworks.
Skills & Requirements
Must-have
multimodal memory architecture design
knowledge graph and ontology implementation
vector retrieval and embedding systems
AI agent runtime memory patterns
regulatory compliance in AI systems
distributed systems engineering
Nice-to-have
hands-on thought leadership
innovation by doing culture
cross-functional collaboration skills
enterprise context reasoning expertise
Key Requirements
Senior-level technical experience in AI engineering
Proven track record with knowledge graphs and ontologies
Experience building secure memory patterns for AI agents