Senior Knowledge Graph Architect

Socket.dev; Dallas (GA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Accenture seeks a Knowledge Architect to design and govern enterprise-scale knowledge graphs and ontologies, enabling agentic AI pipelines for reasoning and planning. You will translate domain knowledge into machine-readable structures and collaborate with AI/ML teams to integrate graphs with RAG systems.

Travel may be required for client engagements. The role emphasizes ontology engineering, schema standards, and cross-functional collaboration across engineering, data science, and delivery

Qualifications

• Ontology design and engineering (OWL, RDF, RDFS)
• Taxonomy and thesaurus development
• Semantic modeling and linked data principles
• Schema design (schema.org, custom domain schemas) and W3C standards

Responsibilities

• Own the end-to-end design, governance, and maintenance of enterprise-scale knowledge graphs and ontologies, bridging structured domain knowledge with large-scale agentic AI pipelines to enable reasoning, planning, and decision-making.
• Develop and govern ontologies, taxonomies, and semantic data models that formalize domain knowledge and support interoperability across systems and teams.
• Define and enforce data modeling standards, schema design patterns, and best practices for structured and semi-structured knowledge representation.
• Translate complex domain knowledge from subject matter experts into formal, machine-readable knowledge structures using RDF, OWL, SPARQL, or property graph models.
• Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements.
• Collaborate with AI/ML engineers to integrate knowledge graphs as grounding and context layers for LLM-based agentic pipelines and retrieval-augmented generation (RAG) systems.
• Design knowledge structures that support multi-step agent reasoning, tool use, and dynamic planning across heterogeneous data sources.
• Work with project teams, team leaders, delivery leads, and client stakeholders to create standout Data & AI offerings powered by graph-based technologies.
• Collaborate with data engineering and platform teams to build scalable pipelines for knowledge graph population, enrichment, and lifecycle management.
• Develop strong client relationships and earn the trust of key stakeholders as a strategic advisor.
• Communicate complex ontological concepts and graph architectures clearly to both technical and non-technical audiences.
• Evaluate and pilot emerging tools, frameworks, and standards (e.g., LPG vs. RDF, Wikidata, schema.org, W3C standards).

Skills

Ontology design

Taxonomy development

Semantic modeling

Schema design

Graph modeling

Graph databases

SPARQL/Cypher

Gremlin

RAG architectures

LLM grounding

LangChain

Prompt engineering

Neuro-symbolic AI

Data modeling

Graph schema

Entity linking

Metadata management

Python

Cloud platforms

Education

Bachelor's degree or equivalent (minimum 12 years' work experience)

Tools

NetworkX

RDFLib

PyKEEN

SPARQL

Job description

Accenture seeks a Knowledge Architect to design and govern enterprise-scale knowledge graphs and ontologies, enabling agentic AI pipelines for reasoning and planning. You will translate domain knowledge into machine-readable structures and collaborate with AI/ML teams to integrate graphs with RAG systems.

Travel may be required for client engagements. The role emphasizes ontology engineering, schema standards, and cross-functional collaboration across engineering, data science, and delivery