Applied AI Platform Engineer (Memory, Data, and Decision Infrastructure)
Core
Architecting and building core platform services, memory, and data infrastructure to support decision-grade validation tools and systems.
Role type
Senior Applied AI Platform Engineer (Memory, Data, and Decision Infrastructure)
Builds
Decision-grade validation tools and systems that turn consequential decisions into auditable outputs.
Domain
Decision support technology, generative AI, and distributed systems.
Deliverable
production ML models | infrastructure
Required skills
distributed systems architecture, data and storage layer design (relational, document, vector/embedding), generative AI integration and evaluation, end-to-end architecture decision making, agile development methodologies
Preferred skills
none stated
Technologies
proprietary stack, relational databases, document stores, vector/embedding stores
Responsibilities
Architect and build core platform services for data, memory, and retrieval layers; Design and own memory and knowledge systems for evidence storage and retrieval; Apply generative AI and agentic systems to decision-support workflows; Make end-to-end architecture decisions across data stores and infrastructure; Collaborate with product owners to refine agile stories and tasks
Seniority
Senior, hands-on IC