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Knowledge Engineering Jobs in California (NOW HIRING)

Infosys Limited Digital

About the Role As a Principal - Knowledge Engineering and Decision Systems, you will operate at the intersection of formal knowledge representation, rules engine design, and AI-assisted compliance ...

Fluency

Forward Deployed Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Work with customer engineering teams to integrate automations into existing systems, or build and own them independently. * Work through incomplete requirements across customer teams, governance ...

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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.

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 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 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.

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:
Knowledge Engineering jobs near you
Product Structure Engineer

Product Structure Engineer

Keysight Technologies, Inc.

Santa Rosa, CA

Other

Posted 29 days ago

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

41st of 139 rated electronics manufacturers

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Knowledge Engineer Roles and Responsibilities:

  • Represents MDM team for all product setup related projects
  • Acts as lead during configurator related projects
  • Collaborates and consults with business partners and stakeholders on how best to execute product structute in a way that meets or exceeds customer manufacturing, sales, installation and maintenance requirements. expectations along with meeting Keysight development,
  • On-going maintenance of current products per business requirements, including the product lifecycle along with execution of the discontinuation strategy.
  • Provides an effective and timely interaction and resolution to product setup issues
  • Price all products based on approved PCN and at appropriate point in workflow; calculate and enter reference pricing into Oracle (25 Pricelists + NAS Customer Specific pricelists)
  • Maintain NAS Customer Specific pricelist pricing matrix
  • Ensure Product Management and others are following guidance for out of cycle price changes, PHCC changes, Product EOS + EOL
  • Support all input for Product Compatibility matrix (CMS) on Support site working with QA Manager/Product Mgr (Customer facing)
  • Manage all End of Sale & End of Life product changes
  • Plays a leadership role in providing scalable solutions and new or improved business processes that align with strategic goals, also establishing and driving alignment with Keysight Standards.

Responsibilities
  • Sufficient technical and business breadth and knowledge of product representation and product structure.
  • Demonstrated aptitude with Keysight product lifecycle management systems and product BOM structures
  • Sense of customer urgency: focus on customer and impact to customer.
  • Demonstrated ability to work in a team or to lead others to achieve a common goal, working in cross-functional projects and exhibit decision-making and good judgement.
  • Self-starter; takes initiative and able to work independently with little-to-no supervision.
  • Ability to define mathematical algorithms and complex logic expressions.
  • Excellent verbal, written presentation, collaboration and interpersonal communication skills.

Qualifications
  • Bachelor’s Degree in computer science, electrical engineering or equivalent combination of education and experience is preferred.
  • Good Understanding of Oracle EBS
  • Understand object-oriented concepts and ability to implement them

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Qualifications:
  • Bachelor’s Degree in computer science, electrical engineering or equivalent combination of education and experience is preferred.
  • Good Understanding of Oracle EBS
  • Understand object-oriented concepts and ability to implement them

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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