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Added 23 mins ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a Python Engineer, New Grad, you will contribute to backend services, data pipelines, APIs, and AI-powered workflows used by real job…
Added 23 mins ago
AI Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As an AI Engineer, New Grad, you will help develop, integrate, and evaluate AI-powered features used by real job…
Added 23 mins ago
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
Full-time
…to the best job outcomes. As a New Grad Full Stack Software Engineer, you will work across the product stack to build intuitive user experiences, scalable backend systems, and AI-powered…
Added 23 mins ago
Senior Data Engineer, Temporary
Aviso
Toronto, ON
Temporary
We're looking for a Senior Data Engineer to join our Data and Analytics Group within the Technology Services Partners (TSP) department for 12 months.
Added 1 hour ago
Product Engineer
Qureos
Toronto, ON
Full-time
We’re looking for aAI Deployment Engineer (Full-Stack) with 3–6 years of experience to work closely with portfolio businesses, understand their operational challenges, and build…
Added 2 hours ago
Lead Specialist – IT SAP Supply Chain (MM)
Parkland Corporation
Calgary, AB
Full-time
…validation of the SAP solution supporting logistics modules in an engineer to order…
Added 2 hours ago
Lead Specialist – IT SAP Supply Chain (MM)
Parkland Corporation
Calgary, AB
Full-time
…validation of the SAP solution supporting logistics modules in an engineer to order…
Added 2 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added 3 hours ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a Python Engineer, New Grad, you will contribute to backend services, data pipelines, APIs, and AI-powered workflows used by real job…
Added 4 hours ago
Application Engineer (Optical Communication Modules)
EDWATEC
Engineer, BC
Full-time
Weare looking for a highly motivated and hands-on Junior NanofabricationProcess Engineer to join our team and contribute to the development andfabrication of next-generation photonic…
Added 4 hours ago
Regional Sourcing Manager (Electronics Lane)
Husky Technologies
Bolton, ON
Full-time
…operations with best in class supplier on-time and quality…
Added 4 hours ago
Sales Engineer
Vantiva
Toronto, ON
Full-time
…Platinum Medals from EcoVadis for environmental and social performance. These awards place us among the top 2% of organizations in our category evaluated…
Added 4 hours ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Develop and quantify relationships between package performance, polymer properties, preform design, injection molding, reheating, and stretch blow molding processes.
Added 4 hours ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
Full-time
The Service team is a unique team in Development engineering responsible for enhancing the reliability and performance of Husky’s products by resolving systemic service issues. The team is…
Added 4 hours ago
Lead Specialist – IT SAP
Parkland Corporation
Calgary, AB
Full-time
…validation of the SAP solution supporting logistics modules in an engineer to order…
Added 5 hours ago
CV & Sensor Calibration Engineer
Harvey Nash
Markham, ON
$170,000 to $195,000 CAD / year
Full-time
We're looking for a CV & Sensor Calibration Engineer to lead the development, validation, and scaling of camera and sensor calibration systems across a growing hardware fleet.
Added 5 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create…
Added 5 hours ago
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
Full-time
…to the best job outcomes. As a New Grad Full Stack Software Engineer, you will work across the product stack to build intuitive user experiences, scalable backend systems, and AI-powered…
Added 5 hours ago
Professional Senior, Engineering – Hydromechanical
Trivosys Technologies LLC
Dorval, QC
Full-time
We are looking for an experienced Hydromechanical Engineer to support the design, integration, development, testing, and certification of flight control, hydraulic, and landing gear systems…
Added 5 hours ago
Customer Success Solutions Specialist
Teltoo (Acquired by Haivision)
Success, SK
Full-time
The Customer Success Engineer (CSE) combines strong technical expertise with a customer-focused approach to deliver an outstanding post-sale experience, from onboarding through day-to-day…
Added 5 hours ago
Senior Systems Integrator – Enterprise BAS/BMS (SIBA002)
Potenco
Toronto, ON · Greater Toronto Area, Canada
Full-time
The Senior Systems Integrator will work closely with the Solution Architect / Lead EBO Engineer, Controls Specialists, field teams, commissioning personnel, Project Managers, and other…
Added 6 hours ago
Middleware Engineer
LTM
ON · Ontario, Canada
$90,000 to $110,000 USD / year
Full-time
Monitor middleware performance and tune configurations for optimal efficiency.
Added 10 hours ago
Regional Sourcing Manager (Electronics Lane)
Husky Technologies
Bolton, ON
Full-time
…operations with best in class supplier on-time and quality…
Added 10 hours ago
Designer, Development (Service)
Husky Technologies
Bolton, ON
Full-time
The Service team is a unique team in Development engineering responsible for enhancing the reliability and performance of Husky’s products by resolving systemic service issues. The team is…
Added 10 hours ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Develop and quantify relationships between package performance, polymer properties, preform design, injection molding, reheating, and stretch blow molding processes.

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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