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Added 2 months ago
BO
Feature Lead – Technology
Bank of America
Toronto, ON
- $141,100 to $165,000 CAD / year
- Full-time
Experience adopting and scaling AI-enabled engineering practices, intelligent automation, agentic workflows, developer productivity tools, and software delivery optimization.
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
Deep experience with ML infrastructure, data platforms, or feature engineering systems at scale
Added 2 months ago
BE
Senior Hydrogeologist/Hydrogeological Engineer - Modeller - All Canadian Locations
BGC Engineering
Vancouver, BC
- Full-time
BGC Engineering Inc. (BGC) is an international applied earth sciences professional services firm. We are proud of our talented team of over 800 employees, spanning the fields of…
Added 2 months ago
TA
Knowledge Graph Analyst
Tiger Analytics Inc.
Toronto, ON
- Full-time
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have…
Added 2 months ago
Senior Site Reliability Engineer I
Braze
Vancouver, BC
…system administrators and software engineers, applying sound engineering principles, operational discipline, and mature automation to our production environments. We specialize in…
Added 2 months ago
Senior Site Reliability Engineer I
Braze
Toronto, ON
…system administrators and software engineers, applying sound engineering principles, operational discipline, and mature automation to our production environments. We specialize in…
Added 2 months ago
MT
Software Engineer
Microchip Technology Inc.
Toronto, ON
- Full-time
Microchip’s FPGA software engineering team is at the forefront of developing advanced Electronic Design Automation (EDA) software, empowering customers to program and optimize Microchip…
Added 2 months ago
C
Prototype Technician
Cura
Calgary, AB
- Full-time
A careful and methodical approach to builds, record-keeping, and data organization, with comfort analyzing data using Excel, Python, MATLAB, or similar tools.
Added 2 months ago
MF
AI & Automation Engineer
Magnet Forensics
Waterloo, ON
- $110,000 to $130,000 CAD / year
- Full-time
Bachelor's degree or diploma in information technology, computer science, engineering, data, or a related field, or equivalent practical experience.
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
CG
Senior Systems Architect/Embedded Firmware Lead
Calian Group
Ottawa, ON
- Full-time
We are looking for an enthusiastic and self-motivated embedded code developer and system architect to join our embedded design team in Ottawa. This candidate will have the primary task of…
Added 2 months ago
C
Quality Analyst (Python/ API Testing)
CGI
Halifax, NS
- Full-time
…for a quality automation professional with strong hands-on Python programming skills, experience with Robot Framework, and a passion for delivering high-quality software in an Agile…
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
We're growing quickly and expanding our engineering team.
Added 2 months ago
1L
Senior Full-Stack and AI Developer
1280 Labs
Remote, Canada
- $90,000 to $200,000 CAD / year
- Full-time
- Remote
strong react, typescript and nestjs experience, python
Added 2 months ago
TI
Threat Intelligence Engineer
Take-Two Interactive Software
Toronto, ON
- $100,000 CAD / year
- Full-time
…our defense, helping to operationalize intelligence and build engineering solutions to counter emerging security threats. You'll work closely with various security and technology teams to…
Added 2 months ago
TI
Security Operations Engineer
Take-Two Interactive Software
Toronto, ON
- $77,000 CAD / year
- Full-time
Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products…
Added 2 months ago
HC
Co-op Engineer - Machine Learning and AI Infrastructure
Huawei Canada
Markham, ON
- Full-time
Strong programming skills, preferably in Python. Solid software engineering fundamentals, including debugging, testing, Git, and working with existing codebases.
Added 2 months ago
PC
Cloud Engineer
Pyramid Consulting, Inc
ON · Ontario, Canada
- Contract
Develop Python and Shell scripts to automate cloud operations, deployment, and administrative tasks.
Added 2 months ago
RE
Senior Software Engineer- Generalist (Apex Legends)
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Analyze live telemetry and crash data to find defects, prioritize fixes, and guide improvements that directly impact the player experience.
Added 2 months ago
N
AI Vision Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
You will work closely with our AI and engineering teams to develop production-ready vision solutions, improve model performance, and help shape the next generation of intelligent visual…
Added 2 months ago
N
Staff DevOps Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…operations - not just software. You'll partner closely with AI, data, and product engineering teams to make sure the systems they build can actually run in production, safely and at…
Added 2 months ago
N
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Strong scripting/programming ability (Python preferred) to build test automation, data pipelines, and eval tooling.
Added 2 months ago
N
Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
…model-serving pipelines, inference and orchestration layers, data pipelines, and the APIs and microservices that connect Generative AI, Computer Vision, and Machine Learning models to real…
Added 2 months ago
Machine Learning Programmer, Memory
Epic Games
Montreal, QC
Python and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)
Added 2 months ago
H(
AI Enablement Business Partner
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Hand off cleanly: Document your technical approach well enough that engineering can harden and scale it without you in the room, this role is about multiplying the team's output, not being…

SAP

Principal Data and Applied Scientist

Montreal, QC, H3B 0B3, Canada

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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.

Job Segment: Embedded, Compliance, Database, Scientific, ERP, Technology, Legal, Engineering

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More about this job

Responsibilities

You will build and scale the semantic infrastructure and context engine that powers SAP's AI agents using enterprise business data. This involves designing enterprise ontologies, developing RAG pipelines, and integrating various data sources to ensure AI reliability in production.

Requirements

Candidates must have 10+ 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
GenAI
RAG
Vector databases
Machine learning
Deep learning
Knowledge graphs
Ontology design
Cloud platforms
Stakeholder management

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Applied AI
Knowledge Engineering
Semantic Modeling
Ontology
GenAI
RAG
Vector Databases
Python
SQL
PyTorch
TensorFlow
Databricks
SAP HANA Cloud
Knowledge Graphs
Machine Learning
Deep Learning
Cloud Computing
AWS
Azure
GCP
SPARQL
Cypher
GQL
Enterprise Data
Business Process Intelligence
Semantic Interoperability
Agile
CX
Metadata

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