Principal/Staff Engineer, AI Knowledge & Data Systems
Usg Inc.
New York, NY, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Configuration Management Databases
Data Integrity
Graph Database
Network Topologies
Data Layers
Dynamic Data
Data Pipelines
Job 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
Requirements
- 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 āworks in a demoā to ātrusted at production scaleā
Preferred Qualification:
- Observability/ITSM-adjacent data experience - network topology, system telemetry, asset management, CMDB-style data
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