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Added 31 mins ago
Sanitation Technician - Sanitation - Night
Give and Go Prepared Foods
Toronto, ON
Give & Go Prepared Foods Corp. is a proud member of the Mondelēz family. We are a leading and growing North American manufacturer of baked goods for over 30 years. If you're looking for a…
Added 2 hours ago
Material Handler
Rokion
Saskatoon, SK
Full-time
Ability to work as a respectable, professional and efficient team member
Added 2 hours ago
Mobile Financial Services Representative
CIBC
Boucherville, QC · Brossard, QC · Candiac, QC · Saint-Bruno, QC
Full-time
As a member of the Personal and Business Banking team, you’ll deliver an exceptional client experience to support CIBC’s vision of leadership in client relationships and increased client…
Added 2 hours ago
General warehouse worker
Advance Auto Parts
Saint John, NB
$16.15 to $19.35 CAD / hour
Part-time
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may…
Added 2 hours ago
truck driver
STL Logistics & Warehousing
Georgetown, ON
Full-time
This employer promotes equal employment opportunities for all job applicants, including those self-identifying as a member of these groups:
Added 2 hours ago
Sanitation Worker
Wonderbrands
Calgary, AB
Other
The Team Member is required to comply with all Food Safety, Quality, and Good Manufacturing Practices (GMP) requirements at all times.
Added 3 hours ago
Hotel Food & Beverage Manager
Sunshine Village Corporation
Banff, AB
Click the Apply Online button below tell us why you’re the next awesome member of our team. Remember, we’re looking for people who will wow our guests, so start now and wow us.
Added 4 hours ago
Utility Operator 2 Full Time
City of Williams Lake
Williams Lake, BC
Full-time
Responsible for the crew to ensure that inventory items removed from the warehouse to undertake project or maintenance work are correctly accounted for as required by the Purchasing Agent.
Added 6 hours ago
Material Handler I
Ryder Supply Chain Solutions
Vaughan, ON · CAN - Vaughan ON Langstaff Rd
Full-time
Ability to work independently and as a member of a team
Added 6 hours ago
Sanitation
Ryder Supply Chain Solutions
Vaughan, ON · CAN - Vaughan ON Langstaff Rd
Full-time
Ability to work independently and as a member of a team
Added 6 hours ago
Material Handler I
Ryder Supply Chain Solutions
Vaughan, ON · CAN - Vaughan ON Langstaff Rd
Full-time
Ability to work independently and as a member of a team
Added 6 hours ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
…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…
Added 6 hours ago
Maintenance and Engineering Technician III
Lineage Logistics
Moncton, NB
Full-time
…Lineage starts with learning about our business and how each team member plays a part each and every day to satisfy our customers’ requirements. Beyond that, you’ll help us grow and learn…
Added 6 hours ago
Electrical Assembler - Load Center line
Eaton Corporation
Perth, ON
Full-time
Ability to work efficiently and safely as a team member in a manufacturing or distribution environment.
Added 6 hours ago
Agro Advisor II (Full-Time) - Lacombe - Central Alberta Co-op
Co-op
Lacombe, AB
Full-time
Team Member Volunteer Program: Get involved in community initiatives and make a positive impact through volunteer opportunities.
Added 7 hours ago
Part Time Customer Service Representative
Leons Furniture Limited
NS
Part-time
As an integral member of our team, you are responsible for management of inventory, adjusting incorrect locations and quantities, balancing product quantities in our warehouse and…
Added 8 hours ago
Shipping and Receiving Assistant
Quik's Farm Ltd
Chilliwack, BC
Full-time
Ability to work independently while also contributing as a supportive team member.
Added 8 hours ago
Warehouse Associate Night
Fresh Start Foods Canada Ltd.
London, ON · Fresh Start East London Operations-Ontario-FSE
Full-time
We are currently seeking Full-Time Warehouse Associates - Night Shift to join our team based out of our London, Ontario location.
Added 8 hours ago
Sort supervisor
Intelcom
Quebec, QC
Full-time
The process is simple: If your profile catches our attention, a member of our recruitment team will contact you for an initial conversation. Then, you’ll meet directly with the site manager.
Added 8 hours ago
Merchandise Processing Team Member - Windsor (Full Time)
Talize Inc / Recycling Rewards
Windsor, ON
Full-time
…running the register, recovering the floor, or supporting the team, you bring positivity and professionalism to every…
Added 9 hours ago
Spare Parts Coordinator
Husky Technologies
Bolton, ON
Full-time
…relation to a job opportunity or testing, you should advise the member of the Talent Acquisition team in a timely fashion of any disabilities that requires accommodation measures in order…
Added 9 hours ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 9 hours ago
Store Associate
Sherwin-Williams
Squamish, BC
Your video interview is reviewed by a member of our Recruitment team and our top candidates are invited to meet with our team in a store, specialty wholesale branch, floorcovering facility…
Added 9 hours ago
Class 1 Driver - P&D
Armour Transportation Systems
Hanwell, NB
Full-time
…equipment, nine maintenance facilities, over 750,000 square feet of warehouse space, and more than 2,000 team…
Added 10 hours ago
Customer Service Representative
NRI Industrial Sales
Mississauga, ON
Full-time
Representative to join our Customer Service team. The successful candidate will support

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

Apply About employer

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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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