... Knowledge Graph models with LLM powered and agentic AI systems. > Lead development of high-performance NLP/ML systems including LLMs, RAG workflows, agentic architectures, and knowledge graph based ...
... Knowledge Graph models with LLM powered and agentic AI systems. > Lead development of high-performance NLP/ML systems including LLMs, RAG workflows, agentic architectures, and knowledge graph based ...
Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business ...
Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business ...
Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business ...
Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business ...
Hands-on experience with the SAP data and AI platform stack -- including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP ...
Hands-on experience with the SAP data and AI platform stack -- including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP ...
Hands-on experience with the SAP data and AI platform stack - including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP ...
Hands-on experience with the SAP data and AI platform stack - including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP ...
Jr. Product Owner
Montreal, QC · On-site
Media-Graph est un fabricant sur mesure spécialisé dans les solutions de communication visuelle ... Strong knowledge of Agile, Scrum, and SDLC * Strong analytical, communication, and organizational ...
Jr. Product Owner
Montreal, QC · On-site
Media-Graph est un fabricant sur mesure spécialisé dans les solutions de communication visuelle ... Strong knowledge of Agile, Scrum, and SDLC * Strong analytical, communication, and organizational ...
Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases. All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the ...
Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases. All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the ...
Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases. All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the ...
Knowledge of Vector Stores, Linux, SPARQL, and Graph Databases. All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the ...
Principal Engineer - Search AI
Montreal, QC · On-site
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 ...
Principal Engineer - Search AI
Montreal, QC · On-site
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 ...
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 ...
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 ...
Experience testing RAG pipelines and knowledge base integrations, including validation of data ... Practical experience with LangChain and/or LangGraph able to read chain/graph construction code ...
Quick apply
Experience testing RAG pipelines and knowledge base integrations, including validation of data ... Practical experience with LangChain and/or LangGraph able to read chain/graph construction code ...
Experience testing RAG pipelines and knowledge base integrations, including validation of data ... Practical experience with LangChain and/or LangGraph - able to read chain/graph construction code ...
Experience testing RAG pipelines and knowledge base integrations, including validation of data ... Practical experience with LangChain and/or LangGraph - able to read chain/graph construction code ...
... with Microsoft Graph API, Azure Automation, Power Automate, and other enterprise management ... Working knowledge of Active Directory, Group Policy, Azure AD, and hybrid identity models ...
Quick apply
... with Microsoft Graph API, Azure Automation, Power Automate, and other enterprise management ... Working knowledge of Active Directory, Group Policy, Azure AD, and hybrid identity models ...
... Graph, connectors, and Azure services. * Translate client business needs into concrete, prioritized ... loop workflows, knowledge bases, RAG, connectors, observability, evaluation, guardrails, and ...
... Graph, connectors, and Azure services. * Translate client business needs into concrete, prioritized ... loop workflows, knowledge bases, RAG, connectors, observability, evaluation, guardrails, and ...
Integrate automation with Microsoft Graph API, Azure Automation, Power Automate, and other ... Working knowledge of Active Directory, Group Policy, Azure AD, and hybrid identity models
Integrate automation with Microsoft Graph API, Azure Automation, Power Automate, and other ... Working knowledge of Active Directory, Group Policy, Azure AD, and hybrid identity models
AI Delivery Lead
Montreal, QC · On-site
... Graph and custom connectors Design and maintain reusable prompt templates and patterns to ensure ... knowledge of agent configuration testing and deployment Power Automate advanced flow design ...
AI Delivery Lead
Montreal, QC · On-site
... Graph and custom connectors Design and maintain reusable prompt templates and patterns to ensure ... knowledge of agent configuration testing and deployment Power Automate advanced flow design ...
... graph analytics. The surveillances and other tools help identify suspicious and/or illegal ... Knowledge of semantic technologies, including SKOS modelling, SPARQL, and broader ontology ...
... graph analytics. The surveillances and other tools help identify suspicious and/or illegal ... Knowledge of semantic technologies, including SKOS modelling, SPARQL, and broader ontology ...
... graph analytics. The surveillances and other tools help identify suspicious and/or illegal ... Knowledge of semantic technologies, including SKOS modelling, SPARQL, and broader ontology ...
... graph analytics. The surveillances and other tools help identify suspicious and/or illegal ... Knowledge of semantic technologies, including SKOS modelling, SPARQL, and broader ontology ...
Knowledge and practical experience with Java, SQL, Rest Assured, JMeter, Selenium; * In-depth ... Software development experience with Java, Groovy, REST API, SOAP Web Service, Graph QL;
Knowledge and practical experience with Java, SQL, Rest Assured, JMeter, Selenium; * In-depth ... Software development experience with Java, Groovy, REST API, SOAP Web Service, Graph QL;
Working knowledge of Microsoft Entra ID, including users, groups, application registrations ... Experience with Azure PowerShell modules, Exchange Online PowerShell, Microsoft Graph PowerShell ...
Working knowledge of Microsoft Entra ID, including users, groups, application registrations ... Experience with Azure PowerShell modules, Exchange Online PowerShell, Microsoft Graph PowerShell ...
Knowledge Graph information
See Quebec salary details
$24.5K - $40.5K
9% of jobs
$40.5K - $56.5K
5% of jobs
$56.5K - $72.5K
7% of jobs
$75.9K is the 25th percentile. Wages below this are outliers.
$72.5K - $88.5K
14% of jobs
$88.5K - $104.5K
5% of jobs
The median wage is $115.8K / yr.
$104.5K - $120.5K
13% of jobs
$120.5K - $136.5K
11% of jobs
$136.5K - $152.5K
11% of jobs
$153.2K is the 75th percentile. Wages above this are outliers.
$152.5K - $168.5K
6% of jobs
$168.5K - $184.5K
5% of jobs
$184.5K - $200.5K
14% of jobs
$24.5K
$119.9K
$200.5K
How much do knowledge graph jobs pay per year?
What is a knowledge graph?
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 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 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.
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:

Executive Director, Senior Semantic and AI Lead
Montreal, QC • On-site
Full-time
Re-posted 20 days ago
Key responsibilities
Lead the design and delivery of Data and AI solutions, including semantic and AI components.
Oversee semantic design activities such as ontology/taxonomy evolution, RDF/OWL modeling, and linked-data applications.
Drive the development and integration of NLP/ML systems, knowledge graph models, and AI technologies across various functions.
Job description
We're seeking someone to join our team as Executive Director, Semantic AI in NFR Data & Analytics to drive the design and delivery of next-generation Data and AI solutions.
You will shape our data-centric and semantic architecture, champion applied AI, and partner closely with SMEs, Ontologists, Data Scientists, and Technology teams to deliver high-impact capabilities.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is an Executive Director level position within NFR Data & Analytics, a function in the Legal and Compliance Division responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like graph analytics. Surveillance solutions and other tools help identify suspicious and/or illegal behaviors like money laundering, market manipulation, insider trading, unfair sales or trading practices and other financial crimes.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
> Lead the Montreal Data & Analytics team, fostering excellence, collaboration, and high-impact delivery.
> Own semantic and AI components, translating business needs into scalable, data-centric and AI-centric solutions.
> Integrate Knowledge Graph models with LLM powered and agentic AI systems.
> Lead development of high-performance NLP/ML systems including LLMs, RAG workflows, agentic architectures, and knowledge graph based designs.
> Oversee semantic design activities, including ontology/taxonomy evolution, RDF/OWL modeling, linked-data applications, and core categorical/functional data models.
> Design and implement semantic capabilities such as search, knowledge panels, entity resolution, automated reasoning, and recommendation engines.
> Drive adoption of semantic and AI technologies across Compliance, Legal, and Financial Crimes functions.
> Strengthen measurement and benchmarking of AI effectiveness, including use of LLM-as-a-Judge techniques.
> Support remediation, monitoring, and BAU AI initiatives.
What you'll bring to the role:
> Masters' degree
> 10+ years of experience in data, AI, semantic technologies, or related fields.
> Ability to think critically about appropriate solutions to business problems
> Hands-on experience with NLP/ML, LLMs, RAG, vector stores, agentic workflows, semantic data modeling, taxonomies/ontologies, RDF/OWL, SPARQL, and graph databases.
> Ability to apply data-centric design methodologies.
> Skilled in product ownership, cross-functional leadership, and delivering enterprise-scale semantic/AI capabilities.
> Comfortable working across multiple domains including Risk, Compliance, Financial Crimes, and Operational Risk.
> Passionate about cultivating high-performing teams, shaping strategy, and delivering meaningful impact through Data & AI.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.
About Jewish Family Service of Colorado
Sourced by ZipRecruiter
Industry
Non-profits
Company size
51 - 200 Employees
Headquarters location
Denver, CO, US
Year founded
1872