AI Knowledge Intelligence Foundations Architect, VP

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 reusable patterns for accelerated AI enablement.
• Evaluate and implement tools for semantic modeling, lineage, and AI trust frameworks.

Mandatory Qualifications:

• 5+ years in data architecture, semantic modeling, knowledge systems, or metadata engineering.
• Deep expertise with ontologies, semantic technologies (RDF, OWL, SPARQL), and graph databases.
• Strong knowledge of AI/ML data requirements, feature lineage, and model metadata.
• Demonstrated experience with large-scale knowledge graph or semantic layer design.
• Familiarity with explainability frameworks and AI trust principles.

Good to Have

• Experience with RAG, LLM fine-tuning, or vector search architectures.
• Familiarity with metadata platforms (Purview, Collibra, Alation) or ML registries.
• Exposure to MLOps workflows and AI governance frameworks.

Foundational Skills:

• Strong conceptual and systems thinking.
• Ability to communicate technical concepts in business language.
• Architectural storytelling and narrative-driven design.
• Collaboration with cross-functional technical and non-technical teams.
• Agile delivery mindset.

Education & Certifications:

• Bachelor’s or Master’s in Computer Science, Information Architecture, Data Science, or related field.
• Certifications in knowledge engineering, data architecture, or AI governance are advantageous.

“Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.”

The typical base pay range for this role is between $172k - $191k depending on job-related knowledge, skills, experience, and location. This role may also be eligible for certain discretionary performance-based bonuses and/or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays. For more information on our Total Rewards package, please click the link below.

MUFG Benefits Summary

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.