Senior Ontologist , Customer Engagement Technology
Senior Ontologist , Customer Engagement Technology
Posted on :
10-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We are responsible for the endtoend process of defining building implementing and monitoring our comprehensive data strategy. Our work encompasses developing and applying Generative AI (GenAI) Machine Learning (ML) Data Science Ontology and Natural Language Processing (NLP) to improve customer service associate and customer experiences.
As an Ontologist you will architect taxonomy and ontology models while collaborating with global teams to evolve Amazons customer service. You will leverage expertise in knowledge representation semantic search and data modeling to deliver knowledgebased solutions that drive business impact. Your expertise will be instrumental in shaping datadriven strategies and addressing complex data challenges. Through partnerships with science and engineering teams you will advance ontology best practices strengthen Amazons customer service foundation and enhance customer interactions.
The ideal candidate demonstrates a deep commitment to customer value through applied science and thrives in a fastpaced environment. Success in this role requires combining deep business knowledge with handson technical skills to solve complex challenges and drive continuous improvement.
Key job responsibilities
Design and develop robust semantically rich and extensible data models for Amazon Customer Service enabling seamless machine ingestion and inference.
Create novel schema using innovative generative AI models.
Enhance data retrieval capabilities by leveraging our vast product catalog and advanced query languages.
Analyze website metrics and behaviors to inform datadriven decisions on optimizing knowledge graph data models globally.
Drive adoption of ontology modeling and technology best practices across Amazon.
Lead crossfunctional projects collaborating with diverse technical and nontechnical teams.
Ensure comprehensive subdomain coverage and ontology alignment across Amazon.
Come join a team of bright passionate and customerobsessed individuals who are having fun and making history. We would love to talk to you!
A day in the life
A typical day for an Ontologist involves balancing domain expertise with handson ontology development. Youll tackle complex knowledge modeling initiatives ensuring alignment with business objectives and customer needs and translate domain requirements into practical ontology solutions. Working with crossfunctional teams youll design and enhance ontologies focusing on semantic accuracy scalability and interoperability. Youll mentor team members fostering skill growth and encouraging innovative knowledge modeling approaches. Your day will involve ensuring data consistency ontology quality and generating actionable insights from vast amounts of data driving business impact and transforming Amazons customer service experience.
You will work closely with senior leaders across crossfunctional stakeholder teams within Amazon to drive collaboration influence stakeholders to prioritize projects and ensure alignment with business plans and shared objectives.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan.
About the team
The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We are responsible for the endtoend process of defining building implementing and monitoring our comprehensive data strategy. Our work encompasses developing and applying Generative AI (GenAI) Machine Learning (ML) Data Science Ontology and Natural Language Processing (NLP) to improve customer service associate and customer experiences.
3 years of relevant work experience working in ontology and/or taxonomy roles
Bachelors degree in Library Science Information Systems Linguistics Computer Science or equivalent professional experience
Masters degree in Library Science Information Systems Linguistics Computer Science or other relevant fields
Experience building ontologies in the ecommerce and semantic search spaces
Experience working with schemalevel constructs (e.g. higherorder classes punning property inheritance)
Proficiency in SQL SPARQL
Familiarity with ontology programming libraries
Exposure to data science and/or machine learning including graph embeddings
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $92400/year in our lowest geographic market up to $206700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
As an Ontologist you will architect taxonomy and ontology models while collaborating with global teams to evolve Amazons customer service. You will leverage expertise in knowledge representation semantic search and data modeling to deliver knowledgebased solutions that drive business impact. Your expertise will be instrumental in shaping datadriven strategies and addressing complex data challenges. Through partnerships with science and engineering teams you will advance ontology best practices strengthen Amazons customer service foundation and enhance customer interactions.
The ideal candidate demonstrates a deep commitment to customer value through applied science and thrives in a fastpaced environment. Success in this role requires combining deep business knowledge with handson technical skills to solve complex challenges and drive continuous improvement.
Key job responsibilities
Design and develop robust semantically rich and extensible data models for Amazon Customer Service enabling seamless machine ingestion and inference.
Create novel schema using innovative generative AI models.
Enhance data retrieval capabilities by leveraging our vast product catalog and advanced query languages.
Analyze website metrics and behaviors to inform datadriven decisions on optimizing knowledge graph data models globally.
Drive adoption of ontology modeling and technology best practices across Amazon.
Lead crossfunctional projects collaborating with diverse technical and nontechnical teams.
Ensure comprehensive subdomain coverage and ontology alignment across Amazon.
Come join a team of bright passionate and customerobsessed individuals who are having fun and making history. We would love to talk to you!
A day in the life
A typical day for an Ontologist involves balancing domain expertise with handson ontology development. Youll tackle complex knowledge modeling initiatives ensuring alignment with business objectives and customer needs and translate domain requirements into practical ontology solutions. Working with crossfunctional teams youll design and enhance ontologies focusing on semantic accuracy scalability and interoperability. Youll mentor team members fostering skill growth and encouraging innovative knowledge modeling approaches. Your day will involve ensuring data consistency ontology quality and generating actionable insights from vast amounts of data driving business impact and transforming Amazons customer service experience.
You will work closely with senior leaders across crossfunctional stakeholder teams within Amazon to drive collaboration influence stakeholders to prioritize projects and ensure alignment with business plans and shared objectives.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan.
About the team
The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We are responsible for the endtoend process of defining building implementing and monitoring our comprehensive data strategy. Our work encompasses developing and applying Generative AI (GenAI) Machine Learning (ML) Data Science Ontology and Natural Language Processing (NLP) to improve customer service associate and customer experiences.
3 years of relevant work experience working in ontology and/or taxonomy roles
Bachelors degree in Library Science Information Systems Linguistics Computer Science or equivalent professional experience
Masters degree in Library Science Information Systems Linguistics Computer Science or other relevant fields
Experience building ontologies in the ecommerce and semantic search spaces
Experience working with schemalevel constructs (e.g. higherorder classes punning property inheritance)
Proficiency in SQL SPARQL
Familiarity with ontology programming libraries
Exposure to data science and/or machine learning including graph embeddings
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $92400/year in our lowest geographic market up to $206700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
