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Knowledge Engineering Jobs in Toronto, ON (NOW HIRING)

Pinterest

Manager I, Engineering

Toronto, ON · On-site +1

The ideal candidate should have experience building backend web applications, be driven to become an expert in their domain, have some knowledge of distributed systems engineering, and have a passion ...

Hatch

Pyrometallurgy Engineering Student

Mississauga, ON

CA$26 - CA$33/hr

... knowledge, skill, attributes): • Good understanding of process engineering and metals industry fundamentals as they apply to engineering challenges and projects • Good knowledge of process ...

New

Td

Senior Manager, Engineering

Toronto, ON

CA$115K - CA$163K/yr

Lead a team of engineers to design, engineer, and coordinate execution ofIAMrelated ... RequiredTechnicalSkills * Deep technical knowledge and experience working withMicrosoft ...

TTEC Digital

Director of Engineering

Toronto, ON · Remote

... knowledge assist, and agentic automation - for the world's biggest brands and the millions of ... Run the engineering org day-to-day, reporting to the engineering leader. This is a fast-moving ...

Manulife

Manager Engineering

Toronto, ON · On-site

Knowledge of business operations, capacity planning, and financial management principles. * Deep understanding of project and program management methodologies, practices, and techniques.

Engineering Search Firm Inc

SCADA Engineer

Mississauga, ON · On-site

CA$100K - CA$140K/yr

Collaborate with cross-functional engineering teams to integrate SCADA systems with PLCs, HMIs, and ... Strong knowledge of SCADA platforms such as Iconics, Wonderware, Siemens, Ignition, or comparable ...

Engineering Search Firm Inc

SCADA Engineer

Mississauga, ON · On-site

CA$100K - CA$140K/yr

Collaborate with cross-functional engineering teams to integrate SCADA systems with PLCs, HMIs, and ... Strong knowledge of SCADA platforms such as Iconics, Wonderware, Siemens, Ignition, or comparable ...

WSP

Engineering Manager, Studies

Toronto, ON · On-site

CA$122K - CA$162K/yr

As an Engineering Manager, you will guide multidisciplinary teams, champion delivery excellence ... We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting ...

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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.

Manager I, Engineering

Pinterest

Toronto, ON • On-site, Remote

Full-time

Re-posted 14 days ago

Job description

People use Pinterest to find ideas and brands that they love. We aspire to help our advertisers and partners reach their audiences with inspiring content.

The API team is responsible for ensuring our first party clients (Android, iOS, and Web) have a stable API to develop on top of. Our customers are Pinterest developers who want to build product features, and who rely on a highly available system to do so. As the Engineering Manager for API, you will lead a talented and growing engineering team responsible for growing the existing portfolio. The ideal candidate should have experience building backend web applications, be driven to become an expert in their domain, have some knowledge of distributed systems engineering, and have a passion for leadership.

What you'll do:

  • Collaborate with stakeholders across the organization to architect solutions to better serve Pinterest's internal development needs
  • Provide technical and team leadership on rapid short-term projects/feature development as well as longer-term development
  • Partner with engineering leadership to set engineering priorities, estimate scope of work, execute work, and track progress
  • Actively foster high-quality software development through code reviews, pair-programming, and targeted feature development and when needed to unblock the team, prototype new technologies and systems, or demonstrate good coding practices
  • Mentor and develop engineers at various levels of seniority
  • Enable and enhance production readiness of Pinterest's first party client APIs
  • Grow the team in your first year of employment by hiring great people

What we're looking for:

  • 1+ years of experience as an engineering manager
  • 4+ years of software engineering experience as a hands on software engineer
  • Track record of developing high quality software in an automated build and deployment environment
  • Experience leading a team of engineers through a significant feature or product launch
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement:

  •  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times every 6-months, and therefore can be situated anywhere Ontario. 

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