Systems Architect for Memory and AI Infrastructure at Globe Travel Retail Spain

, , United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Knowledge Graphs, Graph Databases, Semantic Modeling, Vector Databases, Retrieval Systems, Complex Data Structures, Distributed Systems, First-Principles Design, AI/ML Systems, Cognitive Architectures, Patentable Systems Design, IP Development, Startups, R&D Environments, Infrastructure Projects, Collaborative Integrity

Industry

Description

Chrysalis AE — Building the Future of Adaptive AI Systems Chrysalis is a privacy-first identity infrastructure company for the age of AI. We’re building a breakthrough AI platform and are looking for a Systems Architect — Memory & Graph Infrastructure to lead development of Chrysalis’ memory and graph substrate. You will work directly with the Founder and collaborate with our infrastructure lead to help design and implement the core system behind Chrysalis. Reports to: Founder & CEO, Chrysalis AE Responsibilities Architect and implement a next-generation memory substrate for adaptive AI. Design systems that can capture and represent complex relationships over time. Collaborate with infrastructure and orchestration leads on scaling and integration. Contribute to cutting-edge innovations in AI-native data architecture. Define schemas and interfaces for graph + memory storage. Contribute to patent filings and technical documentation for core IP. Establish standards and SDKs for external integrations. Guide architectural choices for distributed scaling and fault tolerance. Mentor future engineers as the technical team grows. Qualifications Must Have Deep expertise in knowledge graphs, graph databases, or semantic modeling. Strong background in vector databases and retrieval systems (RAG, embeddings). Experience with complex data structures and weighting/scoring models. Track record of designing and deploying distributed systems. Curiosity for first-principles design and comfort creating new approaches rather than relying on existing patterns. Strong Plus Graduate or research experience in AI/ML systems or cognitive architectures. Familiarity with patentable systems design or early-stage IP development. Experience in startups, R&D environments, or advanced infrastructure projects. Alignment with Chrysalis AE’s values of privacy-first, human-first, collaborative integrity. Why Join This is an early, ground-floor role with the opportunity to help shape the foundational infrastructure for adaptive AI. Work directly with the Founder on a project positioned as the next layer of AI infrastructure. If you thrive on solving hard problems and building what doesn’t yet exist, this is that chance. Details Remote-first, flexible Benefits Equity + compensation negotiable

Responsibilities

Architect and implement a next-generation memory substrate for adaptive AI while collaborating with infrastructure leads on scaling and integration. Contribute to innovations in AI-native data architecture and guide architectural choices for distributed scaling and fault tolerance.