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Knowledge Engineering Jobs in Illinois (NOW HIRING)

Sterling Engineering, Inc.

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Electrical Engineering Manager

Burr Ridge, IL · On-site

$130K - $159K/yr

Electrical Engineering Manager - Critical Infrastructure Security Location: Burr Ridge, IL Shift ... Strong knowledge of NEC, NFPA, IEEE, IEC, and related industry standards * Experience with AutoCAD ...

In-finite Search Solutions

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Controls Engineer / Entry Level

Chicago, IL · On-site

$82K - $94K/yr

Qualifications * Degree in a Technical Field, related to Engineering, Systems, or Software ... Manufacturing process knowledge or building/facility management knowledge * Programmable Logic ...

EXPANSIA

E01-J01 Knowledge Manager

Mundelein, IL

$110K - $125K/yr

Collaborating with developers and leadership teams on website enhancements and collaboration tool ... Providing ad hoc knowledge management and administrative support for leadership-directed ...

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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 Illinois? For Knowledge Engineering jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Illinois look for? The top searched job categories for Knowledge Engineering jobs in Illinois are:
What cities in Illinois are hiring for Knowledge Engineering jobs? Cities in Illinois with the most Knowledge Engineering job openings:
Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in Illinois as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Validation Engineer

e-IT Professionals Corp.

Mossville, IL • On-site

Other

Posted 14 days ago

Job description

Role: Embedded Systems Validation Engineer

Location: Mossville, IL (Onsite)

Type: Contract (W2)

Job Description

Job Summary:

  • Set-up and manage multi-system test bench for software and hardware testing and validation.
  • Develop and execute Software and Hardware Test and Validation Plans on the test bench and on machines at proving grounds.
  • Create and manage Data Pipelines for system level software testing and validation on the test bench.
  • Support component and system level testing and validation (Environmental, Vibration, EMC)
  • Travel to Proving Grounds or Customer Sites to support System Installation, Commissioning and Troubleshooting activity (<5%)

Education Requirement

- Bachelor s degree in electrical engineering, computer science or related Engineering Field.

Required Skills & Experience:

- Experience working with telemetry / machine data systems

- Experience with Validation of system data flows across onboard and back-office systems

- Experience integrating software with hardware systems and sensors.

- Experience with Data Acquisition and Analysis tools for CAN and Ethernet (Vector CANalyzer/ CANoe, PEAK-System PCAN-USB, Wireshark or similar)

- Working Knowledge of communication protocols such as CAN / J1939, Ethernet, Wi-Fi and

networking protocols (TCP/IP, UDP)

- Working knowledge of SQL/databases, data analysis, and dashboard/report generation (Power BI/Tableau)

- Working knowledge of Linux Operating System

- Working knowledge of Python, C++

- Working knowledge DevOps (Managing Test Plans, Bug Creation and Tracking)

- Working knowledge of DVP&R documentation.

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