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Knowledge Engineering Jobs in Toronto, ON (NOW HIRING)

Td

Database Platform Engineer

Toronto, ON

CA$81K - CA$115K/yr

... knowledge, geographic location, and other specific business and organizational needs. As a ... We operate with strong ownership, engineering discipline, and a bias toward automation. We are ...

TEEMA

Engineering Manager

Toronto, ON · On-site

CA$105K - CA$130K/yr

Strong knowledge of Lean Manufacturing, process improvement, root cause analysis, and project ... Salary + bonus If you're a hands-on engineering leader who enjoys improving manufacturing ...

Wood Plc

Engineering Manager

Oakville, ON · On-site +1

Knowledge of Russian design standards is highly preferred * Ability to manage risk during the ... leader in engineering and consultancy across energy and the built environment, helping to unlock ...

Tayco

Industrial Engineering Coordinator

Etobicoke, ON · On-site

To provide engineering knowledge and expertise to other departments in the organization. Support claims and warranty issues with short and long term solutions * To continue to acquire knowledge of ...

New

Tayco

Industrial Engineering Coordinator

Etobicoke, ON · On-site

To provide engineering knowledge and expertise to other departments in the organization. Support claims and warranty issues with short and long term solutions * To continue to acquire knowledge of ...

New

Wood Plc

Project Engineering Manager

Oakville, ON · On-site

The Engineering Manager will apply extensive and comprehensive knowledge of engineering principles and practices to the organization's products and services. The Engineering Manager will plan ...

Wood Plc

Engineering Technician

Burlington, ON · On-site

Knowledge of PLC controllers and programming languages (ideally Rockwell or Siemens) is mandatory * Knowledge of networks, JAVA, C, HTML, and IT systems is an asset * Multiple language knowledge ...

Pigment

Engineering Manager

Toronto, ON · On-site +1

Engineers across France, UK, Canada (and more locations in the future) belong to interconnected ... In addition, we create a local management structure to conciliate market knowledge, closeness to ...

TJX Companies

IT Engineering Manager

Mississauga, ON · On-site

We're looking for a(n) IT Engineering Manager to lead and inspire a talented team within TJX ... Deep knowledge of ERP systems and their implementations * Experience with source code control and ...

Royal Bank of Canada

Engineering Manager

Toronto, ON · On-site +1

Knowledge of performance optimization and system scalability at scale * Native development in iOS ... You'll have direct impact on both your engineers' growth and the millions of young users who ...

Hatch

Pyrometallurgy Engineering Student

Mississauga, ON · On-site

CA$26 - CA$33/hr

Strong academic record a must Competencies (knowledge, skill, attributes): Good understanding of process engineering and metals industry fundamentals as they apply to engineering challenges and ...

RWDI

Wind Engineering Coordinator - Buildings

Guelph, ON · On-site

CA$65K - CA$85K/yr

Knowledge of the design of structures, and/or knowledge and application of wind and snow sections of building codes (i.e., NBCC, ASCE-7). * Experience with AutoCAD or similar environments.

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Showing results 21-40

All JobsKnowledge Engineering JobsKnowledge Engineering Jobs in Toronto, ON

Knowledge Engineering information

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 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.

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 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 much does a knowledge engineer make?

The average salary for a knowledge engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Knowledge engineers often work with AI, machine learning, and data management tools, and advanced skills can lead to higher compensation.

How to become a knowledge engineer?

To become a knowledge engineer, typically a bachelor's degree in computer science, information systems, or a related field is required, along with skills in knowledge representation, logic, and programming languages such as Python or Java. Experience with artificial intelligence, machine learning, and knowledge management tools is also valuable, and some roles may prefer candidates with advanced degrees or certifications in relevant areas.

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 job categories do people searching Knowledge Engineering jobs in Toronto, ON look for?

The top searched job categories for Knowledge Engineering jobs in Toronto, ON are:

Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Engineering Manager

Porter Engineered Systems - A Division of Pangeo Group

Woodbridge, ON • On-site

Full-time

Re-posted 3 days ago

Key responsibilities

  • Lead the Manufacturing Engineering function, including process planning, equipment selection, and process support for new product launches and volume production.

  • Drive process improvement, capacity enhancement, and efficiency initiatives to improve plant safety, quality, and cost-effectiveness.

  • Manage and develop the Manufacturing Engineering department, coordinating with other departments and ensuring technical documentation approval.

Job description

About the role
Project North PES is Pangeo's new aluminum die casting and machining plant in Vaughan, Ontario. As Engineering Manager, you lead the Manufacturing Engineering function and carry full accountability for its performance, from new-product process planning and equipment selection through volume-production process improvement.
This is a hands-on technical leadership role through start-up and ramp. You'll plan process routes, tooling, and fixtures, provide the process support that new launches and running production need, and drive efficiency, cost, safety, and quality through engineering. Given the role's urgency within Project North, you may start ahead of full plant relocation and travel to China for technical training during equipment transfer.
Responsibilities
New-product process planning and technical development
  • Plan and determine new-product process routes, equipment selection, and tooling/fixture design concepts to support product development and volume production.
  • Provide process engineering support and technical problem-solving for new product launches and running production programs.
  • Lead the research and application of new process technologies and build internal technical capability.
  • Provide technical support for product quotations and new-process development.
Process improvement and productivity
  • Lead process improvement and capacity enhancement for volume production, improving plant efficiency, cost, safety, and quality through engineering initiatives.
  • Plan and drive improvements to the production process and overall equipment effectiveness.
  • Provide technical leadership for continuous improvement of process technology across all programs.
Department leadership
  • Plan and manage the Manufacturing Engineering department for well-organized, high-performing operations.
  • Coordinate engineering with Production, Quality, Equipment/Maintenance, and Purchasing to support plant objectives.
  • Approve the release of technical project documentation.
  • Develop and mentor engineering talent within the department.
Quality, health, and safety
  • Apply and enforce IATF 16949 requirements within engineering processes.
  • Support the plant's ISO 14001 environmental management system in day-to-day work.
  • Resolve die casting, machining, and related technical and quality issues promptly.
  • Ensure engineering staff complete WHMIS and OHSA training and follow safety procedures.
What we're looking for
  • Process depth. You own process routes, equipment selection, and tooling for die casting and machining.
  • Improvement drive. You raise efficiency, cost, safety, and quality through engineering, not workaround.
  • Technical leadership. You solve hard problems and build capability in the team.
  • Cross-functional fluency. You partner naturally with production, quality, and maintenance.
  • Start-up readiness. You stay effective in a fast-moving plant start-up.
Qualifications
  • 3+ years of technical management experience in a manufacturing environment.
  • Diploma or degree in Casting/Foundry Engineering, Mechanical Engineering, or a related field.
  • Substantial hands-on experience with aluminum/non-ferrous die casting process technology and tooling design; machining process experience.
  • Strong working knowledge of IATF 16949; P.Eng. designation an asset.
  • Microsoft 365 and engineering/CAD software proficiency.
  • English required, Mandarin an asset.
Illustrative KPIs
Examples of how success is measured in this role:
  • Launch: process readiness and PPAP support for new programs on time.
  • Efficiency: overall equipment effectiveness (OEE) and productivity gains.
  • Cost: process-driven cost reductions delivered.
  • Quality: die casting and machining defect reduction.
  • Safety: engineering-led safety improvements implemented.
Working conditions
  • On-site at the Vaughan, Ontario plant, with regular time on the production floor.
  • Standard business hours, with flexibility required during plant start-up.
  • Periodic travel, including training assignments in China during equipment transfer.
Equal opportunity & accessibility
Pangeo Group is proud to be an equal opportunity employer. We welcome applications from all qualified candidates regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, marital status, family status, or disability.
Accommodations are available on request throughout the recruitment process in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation, please let us know and we will work with you to meet your needs.
AI in hiring: We use artificial intelligence to screen and assess applications for this posting, in accordance with the job-posting disclosure requirements of Ontario's Employment Standards Act.
The compensation range above reflects the expected total compensation for this position, inclusive of performance bonus and standard employee benefits, and is provided in accordance with Ontario pay transparency requirements. Actual offers may vary based on experience, qualifications, and internal equity.
 

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