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Added 1 hour ago
LS
Senior Computer Application Support - Contract - 19497
LRO Staffing
Ottawa, ON
- Contract
The successful candidates will support the design, implementation, governance, and continuous improvement of enterprise and business-level SharePoint Online solutions. The work will involve…
Added 1 hour ago
AG
Application Engineer
Accend Group
Engineer, BC
- Full-time
We're looking for a well-rounded applicaion engineer whose preferred background is web-based Java EE applications. As an application engineer, your role is, but not limited to implementing,…
Added 1 hour ago
SP
RVP, Sales - Data Foundation - Public Sector
Salesforce Partner Canada
ON · Ontario, Canada
- Full-time
Experience selling cloud-based enterprise applications, with a strong preference for candidates with hands-on Data Foundation, data integration, or data platform sales experience
Added 1 hour ago
R
Director Data Center Engineering
RBC
Toronto, ON
- Full-time
Must be familiar with AI architectural network designs, complex design architecture between applications and infrastructure, majority of the network routing protocols, complex security…
Added 1 hour ago
NB
Salesforce Application Architect
National Bank of Canada
Montreal, QC
- Full-time
Analyze requests for changes to systems, assess impacts on existing applications, anticipate issues and implement sustainable solutions.
Added 2 hours ago
UO
Manager, Organizational Change Management
University of Alberta
Edmonton, AB
- Full-time
Reporting to the Director, Enterprise Change Management, the Manager, Organizational Change Management is a strategic leader responsible for orchestrating the delivery of professional,…
Added 2 hours ago
C
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot).
Added 2 hours ago
C
Sr. Consultant, Solution Design and Strategy-Payments
CIBC
Toronto, ON
- Full-time
Analytical Thinking, Analytical Thinking, Application Development, Application Firewall, Applications Programming, Azure Database For Postgresql, Data Solutions, Data Standards, Emerging…
Added 2 hours ago
M
Winter Co-op 2027 - Software Engineering
Manulife
Waterloo, ON
- Full-time
As a Software Engineering Co-op, you’ll gain hands-on experience developing applications and systems that support business and customer solutions. You’ll work with modern development tools…
Added 3 hours ago
ES
Senior Java Engineer
EPAM Systems
Toronto, ON
- Full-time
…reliability are critical to real-world financial operations at enterprise…
Added 3 hours ago
B
ServiceNow Developer
BMO
Toronto, ON · YNG
- Full-time
…alignment of asset, configuration, and service data across the…
Added 3 hours ago
B
Senior Relationship Manager, Commercial Banking (Financial Services Group)
BMO
Toronto, ON · FCP
- Full-time
Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
Added 3 hours ago
B
Client Service Assistant
BMO
Vancouver, BC · FBT
- Full-time
Familiarity with technology applications and software used in the financial planning and investment industry.
Added 4 hours ago
A
Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
Experience in enterprise on-premises to cloud migration.
Added 4 hours ago
A
Devops Engineer
Actalent
Montreal, QC
- $55 to $65 CAD / hour
- Contract
Experience in enterprise on-premises to cloud migration.
Added 4 hours ago
A
Devops Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Contract
Experience in enterprise on-premises to cloud migration.
Added 4 hours ago
A
Devops Engineer
Actalent
Calgary, AB
- $55 to $65 CAD / hour
- Contract
Experience in enterprise on-premises to cloud migration.
Added 4 hours ago
AF
Enterprise Senior Software Developer
Armstrong Fluid Technology
Toronto, ON
- Full-time
We are seeking a highly skilled Enterprise Developer to join our enterprise architecture team. This role is ideal for a developer with extensive experience in Python, C#, and .NET projects…
Added 4 hours ago
D
Director- M&A Human Capital Due Diligence & Value Creation
Deloitte
Toronto, ON
- Full-time
…costs, and uncover opportunities for EBITDA improvement and enterprise value…
Added 5 hours ago
I
Network Engineer
Imani-Health
Field, BC
- Contract
Experience setting up systems in hospitals, offices, schools, or enterprise environments is an advantage
Added 5 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
This role is part of an Enterprise Applications team of approximately five people, including one other D365 F&O-focused developer. The broader team supports collaboration platforms, CRM,…
Added 5 hours ago
Key Account Manager (Builder Markets)
Reliance Home Comfort
Burlington, ON
2+ years of successful enterprise experience – Account Management and New Customer Acquisition
Added 5 hours ago
AM
SOFTWARE ARCHITECT – WINDOWS INSTALLER & DEPLOYMENT
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…and deployment solutions for desktop, device, and AI-enabled…
Added 5 hours ago
K
Senior Consultant – Workday Security and Advisory
KPMG
ON · Toronto, Ontario
- Full-time
…successful candidate will play a pivotal role in safeguarding enterprise applications including Workday HCM and Finance, and other critical business platforms. You will help drive efforts…
Added 5 hours ago
K
Senior Consultant - Oracle Security and Advisory
KPMG
ON · Toronto, Ontario
- Full-time
…successful candidate will play a pivotal role in safeguarding enterprise applications including Oracle Fusion ERP and HCM, and other critical business platforms. You will help drive efforts…

Closed listing

RBC

Principal AI Engineer, Agentic Models and Data Platforms

Calgary, AB, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Oct 8, 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: Oct 7, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description

The Principal position will be responsible for leading and delivering key AI/Agentic initiatives under the AI Reuse Development Portfolio. The ideal candidate would leverage their extensive software engineering experience in designing and implementing of such initiatives from the ground up, while also successfully navigating through the org through active stakeholder engagement.

What will you do?

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.

Must 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 backend 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?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact.
Work in a dynamic, collaborative, progressive, and high-performing team.
A world-class training program in financial services
Opportunities to do challenging work.

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:

335 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:

2025-12-23

Application Deadline:

2026-10-08

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.

About employer

More about this job

Responsibilities

The Principal AI Engineer will lead the design and implementation of agentic AI systems, including RAG solutions and multi-step reasoning pipelines. They will also oversee the development of scalable data platforms and backend services to support AI initiatives across the organization.

Requirements

Candidates must have a bachelor's degree in a technical field and over 10 years of professional software engineering experience. Strong proficiency in Python, SQL, and modern data engineering tools like Spark and Databricks is required.

Skills

Python
SQL
PySpark
Databricks
Airflow
Kafka
Snowflake
Machine Learning
RAG systems
Vector search
LLM application development
Software engineering
Data engineering
Cloud architecture
API design
System observability

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Coaching and development opportunities
Training program

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Agentic Models
Retrieval Augmented Generation
Python
SQL
Spark
Databricks
Airflow
Kafka
Snowflake
Machine Learning
LLM
Data Pipelines
Software Engineering
API Development
Observability
Cloud Architecture
Data Governance
Vector Search
CI/CD
DevOps
Agile
SAFe
OAuth 2.0
System Reliability
Data Modeling
Prompt Engineering
Telemetry
Distributed Systems
Backend Services

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