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Added 7 hours ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…distributed data pipelines processing billions of events in Spark/EMR, and build the AI-powered features that transform OCM from a reporting tool into an autonomous measurement platform.…
Added 8 hours ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Added 8 hours ago
Technical Lead, Reporting Platform
TD
Toronto, ON
Full-time
Familiarity with Hadoop, Spark, Spark SQL, or other big data technologies.
Added 9 hours ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
Strong SQL and Python, with experience building distributed data processing at scale (Spark preferred).
Added 14 hours ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
Experience developing data solutions using Python, Scala, Java, or similar programming languages.
Added 17 hours ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
Experience developing data solutions using Python, Scala, Java, or similar programming languages.
Added 18 hours ago
Manager AI Engineering-CA
CN
Montreal, QC
Full-time
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms*
Added 19 hours ago
Lead Data Scientist
Mastercard
Toronto, ON
Full-time
-Experience with Python and Spark for data manipulation is required.
Added 19 hours ago
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 20 hours ago
Senior Integration Developer
York University
Toronto, ON
Full-time
…data ingestion & connectivity tools (ETL, Azure Databricks, Spark,…
Added 20 hours ago
Data Architect - Intermediate
Insurance Corporation of British Columbia
North Vancouver, BC
Strong SQL and analytical skills, with experience managing large, complex datasets using tools such as Python, Spark, and SQL.
Added 22 hours ago
(CAN) Software Developer II (CA)
Walmart Canada
Mississauga, ON
Full-time
Advanced Python and Spark skills with 3+ years of experience
Added 23 hours ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
$103,000 to $153,000 CAD / year
Full-time
Strong SQL and Python, with experience building distributed data processing at scale (Spark preferred).
Added 23 hours ago
Director, Data Engineering, International Banking, Toronto, Mexico, Colombia, Peru
Scotiabank
Toronto, ON
Deep hands-on knowledge of Azure Databricks, Spark, Delta Lake, Databricks Workflows/Jobs, workspace administration, cluster policies, runtime management, and integration with Azur
Added 23 hours ago
Quality Engineer
Robinhood
Toronto, ON
At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to…
Added 1 day ago
Senior Manager, Engineer & Build
RBC
Toronto, ON
Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 1 day ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and SQL, with hands-on experience writing and debugging data transformation logic
Added 1 day ago
Data Fabric Lead/Architect( Fabric experience is must to have)
Aaura Softwares
Canada
Contract
Advanced SQL, solid Python, Spark tuning, Git-based CI/CD.
Added 1 day ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
…(terabytes/petabytes of bidstream and user event data) using SQL, Python, and distributed computing frameworks (e.g., Spark,…
Added 1 day ago
Senior Data Engineer
Ledcor
Vancouver, BC
Full-time
Design, build, and maintain production-grade data pipelines using PySpark and Databricks Spark Declarative Pipelines (SDP), including Python and SQL transformations across medallion…
Added 1 day ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
Develop robust, reusable ETL/ELT and data transformation solutions using T-SQL, Python, PySpark, and Spark SQL, including incremental loading, Change Data Capture (CDC), schema evolution,…
Added 1 day ago
Sr Java Developer--CHODC5892126
Compunnel Inc.
Montreal, QC
$65 USD / hour
Contract
Experience with distributed data processing pipelines using Apache Spark, Python, and other tools and languages
Added 1 day ago
Data Scientist, AI & Machine Learning
Scotiabank
Toronto, ON
…strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. Success in this role requires strong communication,…
Added 1 day ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Expert hands-on skills with modern data lakehouse and distributed compute platforms (e.g., Spark-based ecosystems, cloud-native storage, streaming frameworks).
Added 1 day ago
Python/Spark Developer
Collabera
Toronto, ON · Greater Toronto Area, Canada
$70 to $75 CAD / hour
Contract
We are seeking an experienced Python/Spark Developer with strong expertise in building enterprise-grade backend applications and large-scale data processing solutions within the financial…

RBC

Principal AI Engineer

Calgary, AB, Canada

Job type: Full-time
Apply by: Oct 15, 2026
Experience: 10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Posting language: English
Posted: Sep 21, 2026

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Original job description

Job Description

What's the opportunity?

We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data objectives of the business. This is unique opportunity to be an impactful Data Engineering leader on a fast growing team.

The successful candidate will be responsible for leading the design, development, and implementation of data solutions, as well as lead, mentor, and grow a team of talented data engineers. This role requires strong data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively as a member of a dynamic, fast paced team.

At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at rbcborealis.com.

Your responsibilities include:

Oversee end-to-end data integration, including sourcing, lineage, transformation, and storage to enable complex AI and advanced analytics, leveraging extensive technical expertise.
Collaborate with Business architecture, System architecture, Business SME and Data Stewards.
Architect and implement agentic systems, including tool using agents, workflow orchestrators, and multi step reasoning pipelines that reliably execute business tasks.
Design and deliver Retrieval Augmented Generation solutions, including document ingestion, chunking, indexing, vector search, hybrid search, reranking, and grounding strategies over curated data products.
Build evaluation harnesses and quality gates, including offline test sets, golden datasets, regression suites, and metrics for factuality, safety, latency, cost, and business outcomes.
Implement observability for AI systems, including tracing across prompts and tool calls, telemetry, drift detection, and runbooks for production operations
Lead the build of batch and real time data pipelines, including inbound, outbound, and event driven flows that power analytics and AI use cases.
Design governed data products with clear contracts, documentation, lineage, and SLAs, enabling consistent consumption across domains.
Establish high quality ingestion, transformation, and serving patterns using lakehouse and warehouse paradigms, plus streaming where appropriate.
Partner with data stewards and domain teams to define data standards, quality controls, and metadata that ensure trust and reusability
Design and build backend services and APIs that expose data products, agent capabilities, and AI workflows as reliable, secure services.
Apply rigorous engineering practices, including code quality, automated testing, CI/CD, performance engineering, and secure by default design.
Build scalable runtime patterns for AI systems, including caching, rate limiting, concurrency control, idempotency, and graceful degradation.
Contribute to reference architectures, reusable libraries, and platform components that accelerate delivery across teams.

You're our ideal candidate if you have:

Bachelor’s degree in computer science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
10+ years of professional software engineering experience with strong Python and SQL, Spark and Databricks SQL are a plus.
Demonstrated experience designing and operating scalable data architectures, including schema design, dimensional modeling, and data lifecycle management.
Strong knowledge of algorithms and data structures, plus systems engineering fundamentals, reliability, performance, and debugging.
Hands on experience with data engineering platforms and tools, commonly including Python, PySpark, Databricks, Airflow, Kafka, Snowflake, and modern data integration patterns.
Experience building production services and APIs, including service design, authentication and authorization, and integration patterns, Node.js and Apigee are a plus.
Practical experience delivering AI powered systems, including one or more of:
RAG systems and vector search, embeddings, reranking, and grounding strategies
LLM application development, structured outputs, prompt and tool calling, orchestration patterns
AI evaluation, test harnesses, regression testing, and lifecycle management for prompts and models
Observability for AI systems, tracing, monitoring, alerting, and cost controls
Working knowledge of security and identity frameworks such as OAuth 2.0, LDAP, Kerberos, and Vault integration, with experience operating in regulated environments.

Nice to have:

Master’s degree in computer science or equivalent experience.
Experience with agent frameworks and workflow patterns, such as graph based orchestration, tool routing, plan and execute loops, and human in the loop designs.
MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated QA.
Experience working in Agile or SAFe environments.
Experience with frontend or portal integration for AI experiences, for example Angular based portals, analytics integration, or enterprise enablement tooling.

What’s in it for you?

Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#TECHPJ

#Ll-POST

Job Skills

Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design

Additional Job Details

Address:

407 8 AVE SW:CALGARY

City:

Calgary

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-22

Application Deadline:

2026-10-15

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

The Principal AI Engineer will lead the design, development, and implementation of data engineering solutions on hybrid multi-cloud platforms. They are responsible for mentoring a team and architecting advanced AI systems, including RAG solutions and agentic workflows.

Requirements

Candidates must have 10+ years of professional software engineering experience with strong proficiency in Python and SQL. A bachelor's degree in computer science or a related technical field is required, along with demonstrated expertise in scalable data architectures.

Skills

Python
SQL
Spark
Databricks
Data Engineering
Machine Learning
RAG
LLM Application Development
System Architecture
Cloud Platforms
Data Pipelines
API Development
Software Engineering
Leadership
Mentoring
Observability

Benefits

Total Rewards Program
Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options

Visa sponsorship

Not detected in the job text

Keywords

Principal AI Engineer
Data Engineering
Python
SQL
Spark
Databricks
RAG
LLM
Cloud Platforms
Machine Learning
Data Pipelines
API
Software Engineering
Airflow
Kafka
Snowflake
Node.js
Apigee
OAuth 2.0
LDAP
Kerberos
Vault
MLOps
LLMOps
CI/CD
Agile
SAFe
Data Architecture
Vector Search
Observability

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