AI-Powered Knowledge Graph Architect

Quantiphi

Boston (MA)

Hybrid

CAD 120,000 - 180,000

Full time

33 hours ago
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Benefits offered by this job

Competitive salary
Remote work Canada
Fortune 500 project exposure

Job summary

Quantiphi is seeking a seasoned Lead Architect to shape a next-generation data layer for Agentic AI. You will define high-performance schemas and oversee hybrid databases (Snowflake, Kinetica, NoSQL) while serving as the primary technical liaison for clients.

This high-visibility role blends governance with strategic relationship management. You will drive Schema & Ontology design, database governance, and performance engineering to ensure real-time AI workflows across large-scale deployments

Qualifications

  • Design end-to-end data layer for AI agents.
  • Define multi-tenant schemas and Knowledge Graph ontologies.
  • Oversee health, security, and performance of data clusters.
  • Lead discovery workshops and align roadmaps with business objectives.
  • Establish data latency benchmarks for real-time AI workflows.

Responsibilities

  • Design end-to-end data layer integrating structured, unstructured, and graph data.
  • Define multi-tenant schemas and ontologies for AI agents.
  • Oversee health, security, and performance of Snowflake/Kinetica clusters.
  • Lead customer workshops and manage technical expectations.
  • Set benchmarks for data latency and retrieval accuracy.

Skills

System Architecture
Schema & Ontology Design
DB Admin & Governance
Client Fronting
Performance Engineering
Hybrid Stack
Knowledge Graph
ETL/ELT
DB Internals

Tools

Snowflake
Kinetica
dbt Semantic Layer
Cube
RBAC/RLS

Job description

Quantiphi is seeking a seasoned Lead Architect to shape a next-generation data layer for Agentic AI. You will define high-performance schemas and oversee hybrid databases (Snowflake, Kinetica, NoSQL) while serving as the primary technical liaison for clients.

This high-visibility role blends governance with strategic relationship management. You will drive Schema & Ontology design, database governance, and performance engineering to ensure real-time AI workflows across large-scale deployments

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