Mufg

Financial Services

AIKnowledgeIntelligenceFoundationsArchitect,VP

$0–0k Jersey City, New Jersey, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for VP candidates.

The Brief

“AI Knowledge Intelligence Foundations Architect, VP at Mufg. Skills: Ontologies, Semantic modeling, Knowledge graphs, AI frameworks. Design enterprise ontologies. Maintain enterprise ontologies”

What You'll Achieve.

Enable responsible AI; Enable explainable AI; Enable enterprise-ready AI; Ensure AI systems operate on governed knowledge; Ensure AI systems operate on contextual knowledge; Ensure AI systems operate on reusable knowledge; Accelerate AI enablement

Industry & Context.

Financial Services
Problems you'll solve

Conceptual thinking; Systems thinking

What They're Looking For.

Must Have

5+ years in data architecture, semantic modeling, knowledge systems, metadata engineering, ontologies, semantic technologies (RDF, OWL, SPARQL), graph databases, AI/ML data requirements, feature lineage, model metadata, large-scale knowledge graph or semantic layer design, explainability frameworks, AI trust principles, Bachelor’s or Master’s in Computer Science, Information Architecture, Data Science, related field

Nice to Have

RAG, LLM fine-tuning, vector search architectures, metadata platforms (Purview, Collibra, Alation), ML registries, MLOps workflows, AI governance frameworks, knowledge engineering certifications, data architecture certifications, AI governance certifications

What You'll Do.

Design enterprise ontologies

Maintain enterprise ontologies

Design knowledge graph models

Maintain knowledge graph models

Define data-to-model lineage

Define explainability frameworks

Create AI data contracts

Create semantic schemas

Create metadata standards

Architect RAG patterns

Architect semantic search patterns

Architect AI knowledge store patterns

Integrate governance requirements

Integrate privacy requirements

Integrate compliance requirements

Collaborate with AI Engineering

Collaborate with MLOps

Collaborate with Cloud teams

Collaborate with Data Governance teams

Develop reusable patterns

How You'll Work.

Team & Collaboration

Collaborate with AI Engineering teams; Collaborate with MLOps teams; Collaborate with Cloud teams; Collaborate with Data Governance teams; Collaborate with cross-functional technical teams; Collaborate with non-technical teams

Communication Scope

Communicate technical concepts in business language; Architectural storytelling; Narrative-driven design

Process & Methodology

Agile delivery mindset

Full Job Description

**Do you want your voice heard and your actions to count?** Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. The selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details. ## Job Summary: The AI Knowledge Intelligence Foundations Architect is responsible for designing the semantic, lineage, and trust frameworks that enable responsible, explainable, and enterprise-ready AI. This includes building and governing ontologies, semantic models, AI metadata standards, and knowledge graph structures that serve both analytical and generative AI use cases. The role ensures AI systems operate on governed, contextual, and reusable knowledge. ## Major Responsibilities: * Design and maintain enterprise ontologies, taxonomies, and knowledge graph models. * Define data-to-model lineage, provenance, and explainability frameworks. * Create AI data contracts, semantic schemas, and metadata standards. * Architect RAG, semantic search, and AI knowledge store reference patterns. * Integrate governance, privacy, and compliance requirements into AI data flows. * Collaborate with AI Engineering, MLOps, Cloud, and Data Governance teams. * Develop templates, guidelines, and reusab

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