AI Knowledge Engineering Lead

Qualifications

• Pioneer the integration of knowledge graphs with LLMs, implementing GraphRAG architectures that ground AI responses
• 7+ years in knowledge engineering, semantic web, or related fields
• Bachelor's Degree in an Engineering or Technical discipline
• Experience in knowledge graphs, ontologies, and semantic technologies
• Programming Experience (Python, Java, Kotlin) with experience in graph query languages (SPARQL, Cypher)
• Experience shipping production knowledge systems at scale
• Passionate about knowledge organization and staying current with latest research
• Familiarity with RAG architectures and LLM integration patterns
• Passionate about knowledge organization and staying current with latest research

Benefits

• The base salary budgeted range for this position is $180K-$220K.

Individuals may also be considered for bonus and/or commission

Responsibilities

• Lead the design and implementation of knowledge architecture using semantic web technologies, vector and graph databases
• Drive research into dynamic ontology engineering, leveraging LLM-assisted schema evolution and automated knowledge extraction
• Build semantic layers and data fabrics that unify multimodal data across our AI ecosystem
• Mentor a team of knowledge engineers and collaborate with AI researchers, data scientists, and product teams
• Stay at the forefront of semantic AI—from LLM-KG integration to decision intelligence platforms

Full Description

We are Lenovo.

We do what we say.

We own what we do.

We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets.

Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio ofAI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.

Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere.

Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (

ADR:

LNVGY).

This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere.

To find out more visit , and read about the latest news via our StoryHub.

About Our Team

Lenovo is building Quantum, a next-generation hybrid AI platform that spans Windows, Android, and cloud.

We are hiring for an AI Knowledge Engineering Lead/Manager role to build the trusted knowledge foundation that makes our AI explainable, grounded, and genuinely intelligent.

Your work will directly impact millions of users across laptops, tablets, and mobile devices.

Location:

Chicago, IL,

Hybrid (3 days on-site, 2 days remote)

What You'll Do

Lead the design and implementation of knowledge architecture using semantic web technologies, vector and graph databases.

Pioneer the integration of knowledge graphs with LLMs, implementing GraphRAG architectures that ground AI responses.

Drive research into dynamic ontology engineering, leveraging LLM-assisted schema evolution and automated knowledge extraction

Build semantic layers and data fabrics that unify multimodal data across our AI ecosystem

Mentor a team of knowledge engineers and collaborate with AI researchers, data scientists, and product teams

Stay at the forefront of semantic AI—from LLM-KG integration to decision intelligence platforms

Basic Qualifications

7+ years in knowledge engineering, semantic web, or related fields

Bachelor's Degree in an Engineering or Technical discipline

Experience in knowledge graphs, ontologies, and semantic technologies

Programming Experience (Python, Java, Kotlin) with experience in graph query languages (SPARQL, Cypher)

Experience shipping production knowledge systems at scale

Passionate about knowledge organization and staying current with latest research

Preferred Qualifications

Familiarity with RAG architectures and LLM integration patterns

Passionate about knowledge organization and staying current with latest research

The base salary budgeted range for this position is $180K-$220K.

Individuals may also be considered for bonus and/or commission.

Lenovo's various benefits can be found

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.