Jobs in Canada

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Added 2 months ago
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Senior Data Platform Engineer
Clio
Calgary, AB
- Full-time
If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days
Added 2 months ago
C
Senior Data Platform Engineer
Clio
Vancouver, BC
- Full-time
If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days
Added 2 months ago
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Développeuse ou développeur backend sénior, Outils IA internes / Senior Backend Developer, Internal AI Tooling
Unity
Montreal, QC
- Full-time
Maîtrise de Python / Node.js / Golang pour concevoir des systèmes et des infrastructures hautement performants et à faible latence.
Added 2 months ago
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Senior Security Engineer II
Braze
Toronto, ON
- Full-time
…AWS, GCP, and self-managed Kubernetes, backed by self-managed data stores such as MongoDB. We're looking for a Senior Cloud Security Engineer II to join our Security Engineering function as…
Added 2 months ago
EA
AI Software Engineer
Eclipse Automation
Cambridge, ON
- Full-time
Eclipse Automation is advancing a multi-year digital transformation that connects AI, engineering data, simulation, and enterprise systems to change how custom automation machines are…
Added 2 months ago
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Senior Agentic Engineer
TribalScale
Toronto, ON
- Full-time
Design and build AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products.
Added 2 months ago
IA
Machine Learning Engineer
Invision AI
Remote, Canada
- Full-time
- Remote
You will work from our downtown Toronto office three days per week
Added 2 months ago
Decision Analytics Associate
ZS
Toronto, ON
Candidates must possess or be able to obtain work authorization for their intended country of employment
Added 2 months ago
AM
AI and Automation Software Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
Identify and prioritize opportunities where AI, automation, scripting, data processing, or workflow integration can materially improve engineering productivity and team efficiency.
Added 2 months ago
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Applied AI Engineer
WELL Health Technologies Corp
Remote, Canada
- Full-time
- Remote
This is a hands-on engineering role focused on applying AI to real business challenges, not building foundation models. Working closely with business, data, and technology teams, you will…
Added 2 months ago
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Principal Software Engineer - Distributed Systems
Microsoft
Vancouver, BC
- Full-time
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &…
Added 2 months ago
GIS Developer
GeoLOGIC Systems Limited
Calgary, AB
We're growing and looking for a GIS Developer to join our team. In this role, you'll build and maintain the spatial data processes that sit at the heart of our organization, and help manage…
Added 2 months ago
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Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
Added 2 months ago
FM
Test Automation Node Maintainer
Ford Motor Company
Ottawa, ON
- Full-time
This position is hybrid with a requirement to be onsite for work four or more days per week
Added 2 months ago
KS
Quality Assurance Automation Engineer
Kumaran Systems
Toronto, ON
- Full-time
Write basic scripts/utilities in Python to support test automation and data handling
Added 2 months ago
Physical AI Engineer
EY
Toronto, ON
Strong Python software engineering skills with hands-on experience developing AI/ML, robotics, automation, or system-integration solutions.
Added 2 months ago
Software Development Engineer in Test, Creativity Apps (SDET)
Apple
Vancouver, BC
Built prompt engineering techniques into QA or developer tooling that measurably improved output quality or throughputBS in Computer Science, or related field, or 5+ years of equivalent…
Added 2 months ago
Automation & AI Developer
Martell Ventures
Kelowna, BC
…Relay.app → MySQL → HubSpot → Slack and find the seam where data broke, not just the immediate error. You design for the next developer and the next two years, not just today’s…
Added 2 months ago
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Lead Data Consultant, Manager
PwC
Ottawa, ON · Toronto, ON
- Full-time
6+ years of experience in data engineering or architecture with an emphasis on data analytics and reporting
Added 2 months ago
C
Infrastructure Operations Engineer
CAE
Montreal, QC
- Full-time
Minimum of 5 years of experience in infrastructure operations, cloud operations, site reliability engineering or a similar technical role.
Added 2 months ago
MM
Oliver Wyman - Summer Analyst 2027 - Data and Analytics (DNA) - Toronto
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 2 months ago
GenAI Architect
Lantern
Calgary, AB · Edmonton, AB · Vancouver, BC · Toronto, ON
Guide development teams on best practices in LLM orchestration, prompt engineering, and model deployment.
Added 2 months ago
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Founding Engineer
VoiceValet
Vancouver, BC
- $100,000 to $175,000 CAD / year
- Full-time
…AI-native team here. You'll be one of our earliest product-focused engineering hires in the city, with real ownership, real impact, and close connectivity to all critical aspects of the…
Added 2 months ago
GS
Lead Concepteur Projet PCB (Senior)
Groupe SII
Montreal, QC
- Full-time
Expérience avec des outils et technologies tels que Excel, Python, JIRA, MS Project et autres outils de gestion ou d'ingénierie.

SAP

Principal Data and Applied Scientist

Montreal, QC, H3B 0B3, Canada

Apply on jobs.sap.com About employer

Applications open in a new tab.

Job details

Experience: 8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
Posting language: English
Posted: Aug 27, 2026

Original job description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

Data and Applied Scientist

The context engine that makes AI enterprise ready.

Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in the richest enterprise data and process context in the world. As a Data and Applied Scientist at SAP, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants.

Where you belong

You will be part of Data Labs within the CX Office of the CTO, a strategic organization embedded in SAP Customer Experience. We define the AI strategy and architecture vision for next-generation CX solutions and ensure seamless integration across the SAP ecosystem. Our team works collaboratively across SAP product units, engages deeply in technology strategy, and partners closely with customers and external communities. We strive to create meaningful impact through world-class architecture, innovation, and industry-driven expertise.

What you'll build

The semantic and contextual foundation of SAP's AI. While generic AI agents operate on surface-level patterns, SAP agents are accurate because they understand the real semantics of enterprise business master data, process flows, and domain relationships. You'll build and scale the layer that makes that possible.

Design and maintain enterprise ontologies and semantic models that give AI agents accurate, grounded understanding of SAP and connected business landscapes harmonizing data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers into unified semantic layers.

Build AI capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production.

Develop AI capabilities including generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets.

Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality.

Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.

Partner across product, engineering, business, and customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement.

Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.

What you'll bring

Required Qualifications

8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.

Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field

Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language (SPARQL, Cypher, or GQL); understanding of trade-offs between RDF triple stores and property graph databases.

Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.

Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.

Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement.

Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP).

Excellent communication and stakeholder management skills, with the ability to work cross-functionally in agile environments.

Preferred Qualifications

Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end. (SAP knowledge is a strong accelerator)

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 Accelerator Hub.

Deep expertise across the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL).

Deep expertise in machine learning and deep learning, with experience developing, evaluating, and improving models on real-world datasets.

Experience with agentic AI, reasoning frameworks, planning, orchestration, tool use, or multi-agent architectures.

Experience contributing to reusable AI platforms, foundation model initiatives, or shared AI services adopted across multiple product areas.

Ability to design upper-level and mid-level ontologies aligned with industry standards and apply semantic interoperability frameworks across complex application landscapes.

Experience applying AI and semantic modeling to CX or Retail use cases such as personalization, pricing, product discovery, demand forecasting, or customer data unification across B2B and B2C contexts.

#dlhiring

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 144600-322500CAD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com.

Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Apply on jobs.sap.com About employer

More about this job

Responsibilities

You will design and maintain enterprise ontologies and semantic models to ground AI agents in real-world business context. Additionally, you will build and scale AI capabilities including RAG pipelines, embeddings, and knowledge graphs to ensure reliable performance in production.

Requirements

Candidates must have 8+ years of experience in knowledge engineering, semantic systems, or applied AI, along with a Master's or PhD in a quantitative field. Proficiency in Python, SQL, graph query languages, and modern GenAI frameworks is required.

Skills

Knowledge Engineering
Semantic Data Systems
Applied AI
Data Science
Python
SQL
PyTorch
TensorFlow
GenAI
RAG
Vector Databases
Knowledge Graphs
Machine Learning
Deep Learning
Cloud Computing
Ontology Design

Benefits

Health and well-being programs
Flexible working models
Continuous learning and skill growth
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Knowledge Engineering
Semantic Modeling
GenAI
RAG
Vector Databases
Knowledge Graphs
Python
SQL
PyTorch
TensorFlow
Databricks
SAP HANA Cloud
Ontology
SPARQL
Cypher
GQL
Machine Learning
Deep Learning
Cloud Platforms
Enterprise Data
Business Ontology
Semantic Interoperability
Data Science
Artificial Intelligence
Software Development
Customer Experience
Metadata
Big Data
Agile
Stakeholder Management

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Work requirements

Jobs in Canada