Principal Architect - Ontology & Semantic Layer

Wells Fargo•Concord, CA

1d•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo is seeking a Principal Architect to lead the design and implementation of an enterprise ontology and semantic layer that enables consistent, scalable, and intelligent data usage with automation using Agentic AI frameworks within the Digital Technology Innovation architecture team. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will: 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

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

Nice To Haves

Experience in OWL (Web Ontology Language)
Knowledge in RDF (Resource Description Framework)

Responsibilities

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