Senior Knowledge Architect - Graph AI & Ontologies (Hybrid)

Archer; Dallas (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Archer, in collaboration with Accenture, seeks a Knowledge Architect to design and govern enterprise-scale knowledge graphs and ontologies. You will translate domain knowledge into robust machine-readable structures and lead workshops with clients to shape data-driven AI strategies.

Based in Dallas hybrid, you’ll work with AI/ML teams to integrate graph data into agentic pipelines, enabling scalable, reasoning-enabled solutions across industries.

Qualifications

• Bachelor's degree or equivalent; 4+ years in Knowledge Graph techs and ontology management.
• Experience with RDF, SPARQL, LPG, SHACL and graph-based ML preferred.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Own end-to-end design, governance, and maintenance of enterprise-scale knowledge graphs and ontologies.
• Develop ontologies, taxonomies, and semantic data models for interoperability.
• Define data modeling standards and schema design patterns for structured data.
• Translate domain knowledge into machine-readable knowledge structures using RDF/OWL/GP models.
• Lead discovery workshops with client stakeholders to surface requirements.
• Collaborate with AI/ML engineers to integrate graphs in RAG and LLM pipelines.
• Design knowledge structures supporting multi-step agent reasoning and tool use.
• Work with teams to create data & AI offerings powered by graph technologies.
• Build scalable pipelines for knowledge graph population and lifecycle management.
• Develop strong client relationships and communicate technical concepts clearly.

Skills

Ontology design

Taxonomy development

Semantic modeling

Schema design

Graph databases

Neo4j

SPARQL

Cypher

Gremlin

REST APIs

Git

CI/CD

AWS

Education

Bachelor's degree or equivalent

Tools

NetworkX

RDFLib

PyKEEN

SPARQL

Cypher

Gremlin

REST APIs

Git

CI/CD

AWS

Job description

Archer, in collaboration with Accenture, seeks a Knowledge Architect to design and govern enterprise-scale knowledge graphs and ontologies. You will translate domain knowledge into robust machine-readable structures and lead workshops with clients to shape data-driven AI strategies.

Based in Dallas hybrid, you’ll work with AI/ML teams to integrate graph data into agentic pipelines, enabling scalable, reasoning-enabled solutions across industries.