Principal Architect – Ontology, Semantic Layer

Wells Fargo

Principal Architect leading design of enterprise ontology and semantic layer for Wells Fargo. Transforming data usage with automation using Agentic AI frameworks within Digital Technology Innovation team.

Posted 7/1/2026full-timeCharlotte • Arizona, California, North Carolina, Texas • 🇺🇸 United StatesLead💰 $159,000 - $305,000 per yearWebsite

About the role

Key responsibilities & impact

Act as an advisor to senior leadership to develop the architectural framework & delivery for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering products and solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical and inductive thinking
Provide vision, direction, and expertise to senior leadership on implementing the transformation strategy describing the current state, target state, and transition architecture
Strategically engage with all levels of professionals and managers across the enterprise and serve as an architectural domain expert advisor to leadership
Ensure applications adhere to established Wells Fargo standards, policies, methodologies, and industry best practices as it transforms toward target state architecture
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization and can influence internal and vendor roadmaps in a significant capacity
Define and implement enterprise-wide ontology strategy and roadmap
Design and build semantic data layer / knowledge graph architecture to unify enterprise data
Develop canonical data models and business objects (Customer, Product, Risk, Finance, etc.)
Create semantic abstraction layer over data platforms (data lake, warehouse, APIs)
Architect and implement agentic AI frameworks leveraging enterprise ontology and semantic context
Design autonomous AI agents capable of reasoning over structured and unstructured enterprise data
Build multi-agent orchestration patterns for complex business workflows
Integrate semantic models with LLMs and AI platforms to enhance reasoning, explainability and accuracy
Enable AI-driven automation across critical use cases: Risk and compliance monitoring, Customer insights and personalization, Operational efficiency and automation, Data quality and anomaly detection

Requirements

What you’ll need

7+ years of architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of data architecture experience
1+ years of Generative and Agentic AI, AI/ML experience.
1+ years of experience in Ontology modeling (OWL, RDF), Knowledge graphs and graph databases

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

Enterprise ArchitectureData ModelingAI FrameworksSemantic Data Layer DesignCanonical Data ModelsMulti-Agent OrchestrationRisk and Compliance MonitoringOperational EfficiencyData Quality ManagementAnomaly Detection

Soft Skills

Strategic EngagementVision and DirectionAnalytical ThinkingCreative Problem SolvingCollaboration