Principal Knowledge Graph Engineer

Wells Fargo

. Design comprehensive ontologies for knowledge graphs that capture: Unstructured data: procedure documents, SOPs, transcriptions of clickstream videos.

Posted 4/22/2026full-timeIrving • California, New Jersey, North Carolina, Texas • 🇺🇸 United StatesLead💰 $159,000 - $305,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Design comprehensive ontologies for knowledge graphs that capture: Unstructured data: procedure documents, SOPs, transcriptions of clickstream videos.
Semi-structured data: process diagrams, BPMN XML files, diagrams extracted from PDFs.
Structured data: Process metadata tables (applications, HR entities, management hierarchies, risk assessment units, processes, organizations, controls).
Use agentic AI frameworks to rapidly prototype and validate KG schemas in graph databases, enabling fast iteration on entity and relationship definitions.
Define parameterized schemas and craft optimized prompts for LLMs to extract entities and relationships from unstructured and semi-structured data sources.
Serve as the ontology and schema expert across the Process Improvement workstream and guide the Analysis & Evaluation workstream on connecting observational data with process documentation.
Enable the identification of similar patterns across processes and opportunities for high-impact AI automation.
Build frameworks that connect operational observations (from clickstream analysis) with documented processes (from SOPs and control documents).

Requirements

What you’ll need

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
3+ years of experience in knowledge graph design, ontology engineering, or semantic technologies.
2+ years of experience working with LLMs and AI agents for information extraction, entity recognition, or knowledge base construction.
3+ years of hands-on experience with graph databases including schema design, query optimization, and large-scale data modeling.
Expertise in semantic web technologies (RDF, OWL, SPARQL) and their application to enterprise knowledge management.
Experience with agentic AI frameworks for automated knowledge extraction.
Proficiency in Python with experience in NLP libraries and frameworks.
Experience with process mining tools.
Background in operations research, business process optimization, or workflow analysis.
Experience in financial services, particularly in operations or risk management domains.
Knowledge of AI risk assessment, AI safety, and ethical considerations in enterprise AI.
Experience with cloud computing platforms.
Excellent communication skills with ability to translate complex technical concepts for non-technical stakeholders.
Advanced degree (M.S. or Ph.D.) in Computer Science, Information Science, or related field.

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

knowledge graph designontology engineeringsemantic technologiesLLMsAI agentsgraph databasesschema designquery optimizationsemantic web technologiesPython

Soft Skills

communication skillsability to translate technical concepts

Certifications

M.S.Ph.D.