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# Principal/Staff Engineer, AI Knowledge & Data Systems

- **Company:** Usg Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Configuration Management Databases, Data Integrity, Graph Database, Network Topologies, Data Layers, Dynamic Data, Data Pipelines
- **Published:** September 15, 2026
- **Apply:** https://www.dice.com/job-detail/ebff4b78-4e35-4894-ae1d-146c7b6f85d8

## About the Role

* 7+ years overall, with 3+ years recent hands-on work building production knowledge graphs, ontologies, or semantic layers powering live AI products
 * Direct experience with complex entity resolution and data orchestration - reconciling messy, multi-system data
 * Proven experience at an AI-native scale-up or major tech firm (Meta, NVIDIA, AWS, Google/Gemini)
 * Track record taking systems from "works in a demo" to "trusted at production scale"

Preferred Qualification:

 * Observability/ITSM-adjacent data experience - network topology, system telemetry, asset management, CMDB-style data

## Description

* Architect the Semantic Layer - design and scale a live knowledge graph and operational ontology
 * Dynamic Data Reconciliation - reconcile conflicting data from disparate topology and telemetry systems into unified semantic linkages
 * Ensure Data Reliability for AI - build low-latency pipelines transforming static asset models into real-time, reliable data substrates for agent reasoning