Ontologist III - AMZ10279636 - Seattle | Amazon Job

Job Description

MULTIPLE POSITIONS AVAILABLE

Employer: AMAZON.COM SERVICES LLC
Offered Position: Ontologist III
Job Location: Seattle, Washington
Job Number: AMZ10279636

Position Responsibilities:

Design and develop decision support systems for automated catalog management and change request handling. Architect knowledge infrastructure that integrates ontologies, knowledge bases, taxonomies, and classification systems to enable intelligent workflow automation. Build structured knowledge repositories and semantic frameworks that support automated decision-making processes. Develop classification logic and queries using AI techniques including Knowledge Representation and Reasoning. Serve as technical bridge between domain experts (Ontology/Taxonomy teams) and Software Engineering teams, translating business requirements into implementable system architectures. Apply knowledge graph platform development and support full-stack software engineering to design end-to-end solutions. Create and maintain product catalog structures, classification hierarchies, and metadata schemas. Collaborate with cross-functional teams including machine learning engineers to implement scalable knowledge management and decision support solutions across global systems.

Position Requirements:

Master's degree or foreign equivalent degree in Library Science, Information Systems, Linguistics, or a related field and five years of experience in the job offered or a related occupation. Must have five years of experience in the following skills: (1) experience in data retrieval and data research techniques; (2) creating and communicating technical requirements to engineering teams; (3) experience with generative AI (creating prompts); (4) experience with Semantic Web technologies (RDF/s and OWL), query languages (SPARQL), and validation and reasoning standards (SHACL and SPIN); and (5) experience with open-source and commercial ontology engineering editors (Protege, TopQuadrant products, and PoolParty).

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

40 hours / week, 8:00am-5:00pm, Salary Range $124,500/year to $179,700/year.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000

Basic Qualifications:

Position Requirements:

Master's degree or foreign equivalent degree in Library Science, Information Systems, Linguistics, or a related field and five years of experience in the job offered or a related occupation. Must have five years of experience in the following skills: (1) experience in data retrieval and data research techniques; (2) creating and communicating technical requirements to engineering teams; (3) experience with generative AI (creating prompts); (4) experience with Semantic Web technologies (RDF/s and OWL), query languages (SPARQL), and validation and reasoning standards (SHACL and SPIN); and (5) experience with open-source and commercial ontology engineering editors (Protege, TopQuadrant products, and PoolParty).#0000

Preferred Qualifications:

Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.