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Added 7 mins ago
AP
Director, Sales Operations (Corporate)
Atlantic Packaging Products Ltd.
Toronto, ON · Montreal, QC · Scarborough, ON
- Full-time
The Director, Sales Operations is responsible for owning, standardizing, and continuously improving the commercial operating system across the organization. This is a corporate role working…
Added 7 mins ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver…
Added 7 mins ago
RB
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- Full-time
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Added 7 mins ago
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Dexterra
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- $105,000 to $125,000 CAD / year
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Added 22 mins ago
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Future Leaders Program – Management Trainee
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Added 22 mins ago
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Co-op Student - Process Engineering - January 2027 (12 Month Term)
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Added 22 mins ago
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Co-op Student - Process Engineering - January 2027 (12 Month Term)
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Added 22 mins ago
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Added 23 mins ago
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Added 23 mins ago
R
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
- Full-time
Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver…
Added 23 mins ago
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Added 23 mins ago
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Added 37 mins ago
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Added 37 mins ago
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Added 37 mins ago
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RBC

Director & Principal Engineer, AI/ML & MLOps Platform

Vancouver, BC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Feb 28, 2027
Experience: · 8+ years of experience in designing and building data-intensive applications, with 3+ years in a senior technical leadership role.
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Description

What is the Opportunity?

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration. In your role, You’ll architect and create systems that directly influence billions in lending decisions, shaping RBC’s competitive edge in financial innovation.

We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering leadership role focused on building and scaling data-driven systems and platform capabilities that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation credit decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship. You will manage a team of seasoned engineers to deliver the visions to scale your impacts and pace of development.

What will you do?

Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, balancing hands-on coding (20-30%) with solution architectural & engineering leadership.
Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.
Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions. Your first set of prominent goals are to transform the bank’s retail credit decisioning by bringing together a set of platform capabilities to enable our risk experts to scale vertically and horizontally to provide the depth and the breadth for competitive and personalize lending products.
Mentor and Inspire: Coach engineers and foster a high-performing, collaborative culture. Champion engineering excellence and team growth. You are not an old fashioned manager that just command, but a role model that cultivates a culture of innovation and high performance, who skillfully inspires the next generation of leaders without micro managing.
Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.

What do you need to succeed?

Must Have:

· 8+ years of experience in designing and building data-intensive applications, with 3+ years in a senior technical leadership role.

· Deep expertise in modern distributed data processing and ML engineering tools and languages (e.g., Python, Java/Scala, PySpark/Spark, Kafka, SQL, orchestration frameworks).

· Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines. Experience with real-time inference systems in both on-prem and Cloud.

· Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns, and proficient in IaC (SDK, Terraform)

· Excellent communication skills - able to clearly explain complex technical concepts to both technical and non-technical audiences.

· Demonstrated success in leading engineering teams and delivering high-impact platforms or products.

· Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD preferred.

Nice to Have:

· Hands-on experience with AWS SageMaker and related services (Glue, EMR, Lambda, Step Functions, Airflow, CloudWatch).

· Track record of building high-performing teams (e.g., hiring/retaining top talent, improving team NPS)

· Background in enterprise-level data governance, privacy, and security practices.

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model

Additional Job Details

Address:

745 THURLOW ST:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-10-29

Application Deadline:

2027-02-28

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

You will lead the design and implementation of scalable data pipelines, analytics platforms, and machine learning systems while managing a team of engineers. The role involves setting technical direction, mentoring staff, and partnering cross-functionally to transform credit decisioning and risk management platforms.

Requirements

Candidates must have at least 8 years of experience in data-intensive applications with 3 years in a senior technical leadership role. Proficiency in modern distributed data processing, ML engineering tools, and cloud platforms like AWS or Azure is required.

Skills

Python
Java
Scala
PySpark
Kafka
SQL
MLOps
Cloud Computing
AWS
Azure
Terraform
Data Engineering
Machine Learning
Distributed Systems
Data Governance
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI/ML
MLOps
Data Pipelines
Python
Java
Scala
PySpark
Kafka
SQL
AWS
Azure
Terraform
IaC
CloudWatch
SageMaker
Airflow
Data Governance
Credit Decisioning
Risk Management
Distributed Systems
CI/CD
Real-time Inference
Engineering Leadership
Data-intensive Applications
Software Architecture
Mentorship
Financial Innovation
Big Data
Data Mining
ETL

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