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Knowledge Graph Jobs in Quebec (NOW HIRING)

Autodesk

Principal Engineer - Search AI

Montreal, QC

CA$131K - CA$191K/yr

Exposure to Knowledge Graph/ Graph Databases * Experience in monitoring and improving Reliability of a complex system at scale. * Aware of Security and Compliance challenges in Cloud products and/or ...

SAP

Senior AI Machine Learning Engineer

Montreal, QC · On-site

Geometric ML Knowledge · Develop and optimize: o Graph Neural Networks (GNNs), Graph Transformers, and Relational Transformers o Self-supervised, contrastive, and related pretraining strategies for ...

Apollo GraphQL

$100 - $120/hr

... graph. You'll be joining a talented team that works at the forefront of designing GraphQL-based ... You'll harness your knowledge of APIs and software architecture to serve as a trusted technical ...

SIA

Generative AI Consultant

Montreal, QC · On-site

Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.). * Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face ...

Devoted Studios

Performance Engineer

Montreal, QC · On-site

... graph inefficiency Diagnose and resolve hitching: garbage collection pauses, streaming stalls ... analysis without a knowledge transfer session Requirements 5+ years of professional game ...

All JobsKnowledge Graph JobsKnowledge Graph Jobs in Quebec

Knowledge Graph information

See Quebec salary details

$24.5K

$119.9K

$200.5K

How much do knowledge graph jobs pay per year?

As of Jul 26, 2026, the average yearly pay for knowledge graph in Quebec is $119,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $165,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Knowledge Graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML engineer or data scientist, are generally well-paid due to the specialized skills required, such as programming, statistics, and knowledge of algorithms. Salaries tend to be higher than average in tech hubs and often increase with experience, certifications, and proficiency in tools like Python, TensorFlow, or PyTorch.

What is a knowledge graph job description?

A knowledge graph job description typically involves designing, developing, and maintaining knowledge graphs that organize and connect data for improved search, reasoning, and data integration. The role often requires skills in data modeling, graph databases like Neo4j, and understanding of semantic technologies such as RDF and OWL. Professionals in this field may work with data scientists, software engineers, and domain experts to ensure accurate and efficient knowledge representation.

What is a Knowledge Graph job?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What engineer makes $500,000 a year?

Senior data engineers or machine learning engineers working in high-demand industries such as technology, finance, or AI can earn salaries around $500,000 annually, especially with extensive experience, advanced skills in big data tools, and relevant certifications. Compensation varies based on location, company size, and individual expertise.

What are some typical daily responsibilities of a Knowledge Graph Engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are popular job titles related to Knowledge Graph jobs in Quebec? For Knowledge Graph jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Quebec look for? The top searched job categories for Knowledge Graph jobs in Quebec are:
Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Quebec as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $119,862 per year, or $57.6 per hour.
Principal Engineer - Search AI

Principal Engineer - Search AI

Autodesk

Montreal, QC

CA$131K - CA$191K/yr

Full-time

Posted 18 days ago

Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

25th of 245 rated software companies

Job description

Job Requisition ID #

26WD99817

Position Overview

Welcome to Autodesk!

The world's innovators, designers, engineers, builders, and creators trust Autodesk to help them design and make a better world for all. Autodesk's Design and Make Platform empowers everyone, everywhere to design and make anything. From the buildings we live and work in, to the cars we drive and the bridges we drive over. From the products we use and technology we rely on, to the movies and games that inspire us. Everything around us is made using Autodesk software. Autodesk's leading Design and Make Platform offers customers the technology to help them create the world around us, and the critical insights and data to deliver better outcomes for their business and the planet.

At Autodesk, we celebrate all the real-world problem solvers, creative rebels, and innovators who are driven to improve the reality around us. Because we don't believe in waiting for progress; we believe in making it. When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!


We are looking for a Principal Engineer to own and deliver complex modules within our Search Infrastructure within Autodesk Platform Services. You will work with system architects, Sr principal engineers to build modern and scalable Search Platform that powers the search experiences across Autodesk's Industry Clouds - Fusion, Forma and Flow, and solve demanding distributed systems and algorithmic problems.


Responsibilities

  • Lead the design, development and operations of highly scalable, distributed, data intensive micro-services

  • Champion adopting industry best practices to push the development standards within the team.

  • Partner with Software Architects, Product Managers and Engineering Managers to design technical solutions to drive business outcomes

  • Help to meet SLAs of large-scale micro-services with monitoring, troubleshooting and optimizing

  • Lead detection, recovery and postmortems of production incidents

  • Help to hire, mentor Engineers, help build fast-growing and high-performing teams

  • Perform thorough design and code reviews, drive best practices to clean and maintainable code

Minimum Qualifications

  • BS in Computer Science or related field or equivalent work experience

  • Strong Computer Science fundamentals: data structures, algorithms, distributed systems, and data management

  • Thorough knowledge of multi-threading, concurrency, and parallel processing concepts

  • Exceptional proficiency in Java or Golang or similar programming language

  • 10+ years of experience in building and running large scale systems

  • Thorough understanding of database systems (e.g. MySQL, DynamoDB) including scalability, performance, and consistency characteristics

  • Expertise with modern technology stacks, API design, microservices, stream processing and designing for resilience and operational excellence

  • Strong communicator. You enjoy synthesizing, simplifying, and articulating complex problems to other engineers

  • Expertise in Cloud Infrastructure platforms such as AWS.

  • Exposure to Information Retrieval with hands on experience in Lucene/ElasticSearch/OpenSearch

Preferred Qualifications

  • Exposure to Vector Databases and ML Infrastructure

  • Exposure to Knowledge Graph/ Graph Databases

  • Experience in monitoring and improving Reliability of a complex system at scale.

  • Aware of Security and Compliance challenges in Cloud products and/or platforms

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $131,000 and $191,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

What Autodesk employees say

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Hours and flexibility

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Get the full story on Breakroom

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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