Knowledge Engineer, Artificial General Intelligence (AGI), Information International

Description

Amazon’s Artificial General Intelligence organization is building the next generation of solutions and experiences with AI, shaping the way information is delivered, consumed and utilized.

That’s where you come in. We’re looking for a Knowledge Engineer to join our team in London or Cambridge and help us build the future. As a Knowledge Engineer, you will be responsible for identifying and executing on opportunities to make Alexa the World’s best personal assistant with GenAI.

Key job responsibilities

In this role, you will:

• Build out ontological constructs and ingest structured data into Knowledge Graphs to ground model-based experiences

• Develop and manage complex data pipelines

• Closely monitor KPIs and perform deep dives to uncover gaps, working with technical teams to implement solutions/improvements

• Work closely with engineers, scientists, and product managers to enhance performance

• Work closely with UX designers and business development managers to bring forward new experiences

• Help ideate, define and build new customer experiences

• Leverage culturally specific expertise to innovate on behalf of customers, enriching the ways AGI international customers receive information

About the team

The AGI Information International Knowledge Engineering north star focuses on making AI-based experiences tailored around our International customers needs. We provide information that is relevant, engaging, and trustworthy on the preferred device and in the language of choice. Customers easily turn to our models to stay informed and entertained on international and local knowledge. Customers communicate with them trusting that these interactions are private, personal, and culturally relevant.

Basic Qualifications

• Bachelor’s degree (or equivalent), in a quantitative or analytical field

• Concise clear written communication skills and excellent verbal communication ability

• Experience working on simultaneous projects with cross-functional teams

• Ability to solve complex problems with analytical thinking

• Able to perform data analysis that drives conclusions and informs project priorities/deliverables

• Able to structure single data sets in models that facilitate data retrieval and aggregate analysis (e.g. SQL, SPARQL, Cypher)

• Technical interest and ability to script (e.g. Python, Javascript, ETL, Excel)

• Native speaking and writing proficiency of the Italian and English language

Preferred Qualifications

• Large Language Model (LLM) and/or Natural Language Processing (NLP) integration working experience

• Experience with AWS Knowledge Graph services (Neptune)

• Demonstrated quantitative, systematic approach to solving problems

• Strong logical and conceptual thought processes

• Ability to work autonomously with minimal supervision

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.