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Ernst & Young

Global professional services: consulting, assurance, tax

Knowledge / Ontology Engineer

Data ManagementUpdated on Nov 14
Full-timeMilan, Metropolitan City of Milan, Italy$44k - $64k

About the Job

Requirements

  • Ability to design and maintain domain ontologies and enterprise knowledge graphs, defining entities, relationships, attributes, and inference rules in OWL/RDF or equivalent.
  • Ability to build and manage entity resolution and master data layers, including deduplication, linking, and harmonization of master entities across heterogeneous sources.
  • Ability to define business vocabularies and taxonomies, including controlled glossaries and data dictionaries.
  • Ability to integrate semantic layers with generative AI models using graph-augmented retrieval-augmented generation, context injection, and ontology-based structured prompting.
  • Ability to collaborate with AI architects and data management teams to define interfaces between data, semantic, and AI engineering layers, and ensure consistency between physical data models and semantic representations.
  • Ability to support AI explainability and interpretability by providing semantic traceability and audit trails for high-risk models.

Responsibilities

  • Design and maintain domain ontologies and enterprise knowledge graphs for the covered sectors, defining entities, relationships, attributes, and inference rules in OWL/RDF or equivalent.
  • Build and manage the entity resolution and master data layer, deduplicating, linking, and harmonizing master entities across heterogeneous sources.
  • Define business vocabularies and taxonomies, including controlled glossaries and data dictionaries that serve as a semantic source of truth for AI products and client engagements.
  • Integrate the semantic layer with generative AI models using graph-augmented retrieval-augmented generation, context injection, and ontology-based structured prompting to reduce hallucinations in regulated domains.
  • Collaborate with AI architects and data management teams to define interfaces between data, semantic, and AI engineering layers and ensure consistency between physical data models and semantic representations.
  • Support AI explainability and interpretability by providing semantic traceability for high-risk models and enabling audit trails from semantic input to output.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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