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Knowledge Engineering Jobs in California (NOW HIRING)

You'll work at the intersection of data architecture, knowledge engineering, and applied AI, partnering closely with the Agentic Solutions team, Data Platform, MarTech, and the broader Customer org ...

Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge ...

You'll work at the intersection of data architecture, knowledge engineering, and applied AI, partnering closely with the Agentic Solutions team, Data Platform, MarTech, and the broader Customer org ...

New

Java or Scala 5+ years experience with big data platforms Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases Knowledge ...

Systems Engineer

El Cajon, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Systems Engineer

Rancho Santa Fe, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and ...

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Systems Engineer

National City, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Systems Engineer

La Jolla, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

Systems Engineer

Cardiff By The Sea, CA · On-site

$87K - $157K/yr

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

This role is the bridge between biological knowledge ingestion and the high performance engineering systems that use it. If you enjoy working on data modeling, schema design, graph storage, ETL, and ...

Specialized experience in a single discipline such as assembly/integration, cross-discipline functions, data engineering, industry expertise, knowledge engineering or legacy evolution * Experience in ...

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Knowledge Engineering information

What does a knowledge engineer do?

A knowledge engineer designs, develops, and maintains systems that capture and organize knowledge for artificial intelligence and expert systems. They analyze information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How does a Knowledge Engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

What engineers make 200,000 a year?

Senior knowledge engineers, especially those with expertise in artificial intelligence, machine learning, and data science, can earn $200,000 or more annually. High salaries are often associated with extensive experience, advanced certifications, and working in industries like technology, finance, or consulting, typically in roles involving complex problem-solving and specialized tools.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions require proficiency with knowledge representation, ontologies, and tools like Protégé or OWL.

What are the key skills and qualifications needed to thrive as a Knowledge Engineer, and why are they important?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.
What are popular job titles related to Knowledge Engineering jobs in California? For Knowledge Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in California look for? The top searched job categories for Knowledge Engineering jobs in California are:
What cities in California are hiring for Knowledge Engineering jobs? Cities in California with the most Knowledge Engineering job openings:

Architect with Engineering Knowledge

Marcon One Inc

Oceanside, CA • On-site

Part-time

Re-posted 5 days ago


Job description

Benefits/Perks
  • Flexible work options
  • Competitive compensation

Job Summary
We are seeking an experienced Architect with Engineering Knowledge. In this role, you will plan and design new construction for patio covers, decks, and outdoor living spaces. Your responsibilities will include communicating with clients to determine project scope and requirements and preparing architectural plans. We are looking for someone who has creativity to give multiple options to clients on the designs they are looking for.  The ideal candidate is resourceful with an eye for detail.  We would prefer a candidate who has also done this work of building/rebuilding these structures as well, even if it is only to a minimum.

Responsibilities 
  • Produce feasibility studies and design proposals
  • Create detailed blueprints and architectural plans
  • Maintain up-to-date knowledge of architectural trends, building codes, and regulations

Qualifications
  • Previous experience as an Architect with a portfolio of work is preferred
  • Familiarity with design software.
  • Experience in building these structures is preferred.