Senior Knowledge Graph Architect
About The Position
Cyvl is a Boston-based tech startup revolutionizing how governments map and manage transportation infrastructure. Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, retrofitted to our customers' vehicles. This data is processed through our AI-powered cloud pipelines to generate actionable geospatial insights that save cities time, money, and resources. At Cyvl, our mission is to empower governments to build and maintain public infrastructure they're proud of by accelerating decision-making through our sensors and Infrastructure Intelligence Platform. This role owns the knowledge architecture that connects everything Cyvl knows about infrastructure, turning sensor outputs, documents, public records, and regulatory standards into a unified graph that AI agents and analysts can query to answer the hardest questions cities face. We're a fast-moving, high-growth team that believes in solving real-world problems with authenticity, simplicity, and boldness. Every member of our team is empowered to take ownership, deliver results, and leave a lasting impact on the communities we serve. About You You've spent your career turning messy, heterogeneous data into structured, connected knowledge. You've designed ontologies or knowledge graphs for complex real-world domains, built the pipelines that populate them, and thought deeply about entity resolution, provenance, and schema evolution. You understand that the way data is organized determines what questions can be answered, and you've designed data architectures specifically to support agentic and programmatic access. You want to build a knowledge architecture for a domain nobody has modeled at this depth before.
Requirements
- 5+ years building knowledge graphs, ontologies, or structured entity-relationship systems for complex real-world domains.
- Production experience designing and populating a knowledge graph from multiple heterogeneous data sources, not just a single clean database.
- Hands-on experience with entity resolution or record linkage at scale: probabilistic matching, geocoding, deduplication, or cross-source association.
- Experience designing data architectures optimized for agentic or programmatic access (LLM tool use, API-driven query, or similar patterns where AI systems consume structured data autonomously).
- Strong data modeling skills with opinions on when to use relational vs. graph vs. document stores, backed by production experience.
- Experience with geospatial data: PostGIS, spatial indexing, coordinate systems, or equivalent.
- Production engineering skills: you write code that ships, build data pipelines, and work alongside software engineers.
Nice To Haves
- Experience at Palantir (Forward Deployed Engineer, Ontology Engineer, or similar roles), HD mapping companies (HERE, TomTom, DeepMap), or geospatial intelligence organizations.
- Graph databases in production (Neo4j, Apache Jena, RDF/OWL, or property graph systems).
- Familiarity with infrastructure, civil engineering, or asset management domains.
- Experience with embedding-based retrieval alongside structured graph queries (pgvector or similar).
- Background in schema evolution and ontology versioning as domains grow.
- Experience hiring and mentoring engineers.
Responsibilities
- Define the entity types, relationships, and schemas that organize Cyvl's infrastructure knowledge across sensor data, documents, public records, and regulatory standards.
- Build the association layer that connects ML-derived detections and measurements to work orders, compliance rules, and contextual data sources.
- Design and implement entity resolution pipelines for matching records across heterogeneous sources to physical assets.
- Own provenance and confidence tracking: every fact in the graph carries its source, timestamp, and reliability.
- Architect the knowledge layer so that AI agents can traverse, query, and reason over infrastructure data without custom computation per question.
Benefits
- Competitive salary and equity package ($250K-$350K total comp, equity-heavy for a founding role)
- Comprehensive health, dental, and vision coverage
- 401(k) with immediate vesting
- Generous PTO, paid parental leave, and flexible work options
- Annual professional development stipend
- Team events, referral bonuses, and a collaborative, growth-focused culture
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
