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Knowledge Engineering Jobs in Wheeling, IL (NOW HIRING)

Litera

Legal Product Consultant

Chicago, IL

$110K - $138K/yr

Why this Role Matters We are seeking a Legal Product Consultant to join our Legal Knowledge Engineering (LKE) team, where legal expertise meets cutting-edge artificial intelligence. In this dynamic ...

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All JobsKnowledge Engineering JobsKnowledge Engineering Jobs in Wheeling, IL

Knowledge Engineering information

See Wheeling, IL salary details

$13

$32

$59

How much do knowledge engineering jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for knowledge engineering in Wheeling, IL is $32.67, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $39.33 per hour, depending on experience, location, and employer.

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 domain data, create ontologies, and implement knowledge bases using tools like logic programming and semantic technologies. Strong analytical skills and understanding of data modeling 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 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.

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 also require proficiency with tools like ontologies, semantic web technologies, and knowledge representation languages.

What are the key skills and qualifications needed to thrive as a knowledge engineer?

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 cities near Wheeling, IL are hiring for Knowledge Engineering jobs? Cities near Wheeling, IL with the most Knowledge Engineering job openings:
Knowledge Engineering jobs near you

Engineering Facilities Manager

AMBE Engineering LLC

Chicago, IL • On-site

$120K/yr

Full-time

Re-posted 26 days ago

Job description


Engineering Facilities Manager
Full-Time
Chicago, IL
We are seeking a strategic, hands-on Engineer Facility Manager to lead all engineering, maintenance, and facilities operations across our manufacturing site. This role is accountable for ensuring equipment reliability, optimizing processes, and maintaining facility infrastructure to support safe, efficient, and high-quality production. The ideal candidate is an innovative, data-driven leader with a passion for operational excellence and fostering a culture of continuous improvement, collaboration, and technical growth.
Overall Leadership
  • Provide strategic direction and oversight for Engineering, Maintenance, Facilities, ensuring all manufacturing equipment, tooling, processes, and site facilities are effectively maintained and optimized.
  • Lead all activities related to facilities management, including building systems, grounds, utilities, and janitorial services.

Safety & Compliance
  • Champion a Safety-First culture by ensuring all engineering and maintenance activities comply with safety standards and by driving continuous reduction and elimination of accidents and incidents in line with company objectives.
  • Ensure full compliance with company emergency evacuation guidelines and all applicable regulatory requirements.

Department Management
  • Manage departmental staffing, performance, budgets, KOIs, and resource planning to meet or exceed organizational expectations.
  • Oversee quoting activities, ensuring accurate and timely cost estimates.
  • Conduct employee performance evaluations and establish clear roles, responsibilities, and expectations for all team members.
  • Build and strengthen engineering and maintenance capability by developing skills, fostering teamwork, and driving effective communication across teams and departments.

Maintenance & Operations
  • Ensure the execution of all preventive maintenance activities, manual operations drills, and equipment readiness routines.
  • Maintain the technical skill base required to support facility operations and ongoing production needs.

Launch Readiness & Program Execution
  • Lead cross-functional teams through the Launch Readiness process as defined in BOS procedures.
  • Schedule and facilitate meetings with Production, Manufacturing Engineering, Controls Engineering, Materials, Quality, Program Management, and Product Engineering.
  • Review all deliverables in detail, verify progress through physical validation, and escalate or support as needed to drive accountability and ensure readiness.
  • Provide coaching, guidance, and hands-on leadership to remove barriers and ensure successful program execution.
  • Ensure full departmental engagement in new program development, including process design, tooling, capital planning, equipment setup/debug, and validation to meet customer specifications, cycle times, and quality requirements.

Engineering Change Management (ECM)
  • Oversee Engineering Change Management for new and existing programs, ensuring alignment on quoting, costing, planning, and execution of changes.

Product & Process Development
  • Drive product and process development activities to ensure production feasibility within ergonomics, safety, timing, budget, cost, performance, and quality requirements.
  • Strengthen Launch Readiness through lessons learned and continuous improvement integration.

Continuous Improvement
  • Lead or participate in CI initiatives to enhance efficiency, reliability, throughput, and cost performance across the plant.
  • Keep team members informed on emerging technologies, tools, and best practices that improve project execution and operational performance.

Documentation & Additional Duties
  • Ensure proper documentation of all engineering, maintenance, and facilities activities.
  • Perform other responsibilities as assigned by management.

Requirements
  • Bachelor's degree in Manufacturing, Engineering, Operations Management, or a related field.
  • Minimum 5 years of management experience in an automotive manufacturing environment with progressive leadership responsibilities. Preferably within Just-In-Time (JIT) assembly and sequencing operations.
  • Experience with direct oversight of a CMMS and its performance.
  • Proven Engineering Management experience, including strong working knowledge of AIAG Core Tools (APQP, PPAP, FMEA, MSA, SPC).
  • Strong mechanical aptitude and technical problem-solving skills.
  • Proficient in AutoCAD, Microsoft PowerPoint, and Microsoft Project, with solid general computer literacy.
  • Skilled in motion/time study methodologies, including MOPATs, MOST, and/or Timer-Pro.
  • Hands-on experience with industrial automation, including robotics, conveyors, DC fastening systems, and automated equipment.

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