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Added 4 mins ago
M
Data Specialist
McKesson
Mississauga, ON
- Full-time
Partner with Forward Deployed Engineer, business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions.
Added 17 mins ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 17 mins ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 17 mins ago
BI
Technical Sales Engineer - TrueLight Machine Vision
BOS Innovations Inc.
London, ON
- $90,000 to $110,000 CAD / year
- Full-time
This Technical Sales Engineer owns the go-to-market for TrueLight's AI inspection platform, starting with 3D-AI Weld Inspection and expanding to additional inspection applications and…
Added 19 mins ago
BI
Technical Sales Engineer - TrueLight Machine Vision
BOS Innovations
London, ON
- Full-time
This Technical Sales Engineer owns the go-to-market for TrueLight’s AI inspection platform, starting with 3D-AI Weld Inspection and expanding to additional inspection applications and…
Added 19 mins ago
E
Full Stack Engineer, SE3
eBay
Toronto, ON
- Full-time
We are seeking a Full Stack Engineer with to help redefine and elevate the Goldin platform. In this role, you’ll work across the stack, collaborating with high-velocity teams to design,…
Added 46 mins ago
S
Senior Application Support Engineer (m/f/d)
Solactive
Toronto, ON
- Full-time
Partner with development, infrastructure, and business teams to maintain platform stability.
Added 46 mins ago
KG
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
…Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets technology, and modern Java…
Added 1 hour ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are building a highly secure and scalable cloud-native platform for non-human identity governance. We are looking for a Software Architect to define and implement the technical…
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
We are seeking a highly skilled Forward Deployed Engineer to work closely with business stakeholders and engineering teams to design, build, and deploy AI-powered data solutions. The ideal…
Added 1 hour ago
TC
GCP Infrastructure & Cloud SRE Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Build and manage enterprise-scale cloud platforms on Google Cloud Platform (GCP).
Added 1 hour ago
DevOps Developer, AI Automation
Stay22
Montreal, QC
We are searching for a Platform Engineer with strong Devops and SRE experience to join our growing Platform team. You will also drive the adoption of agentic AI across the platform,…
Added 1 hour ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
…and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and…
Added 1 hour ago
JT
Technical Program Manager
Jobility Talent Solutions
Toronto, ON
- Contract
Comfortable engaging in technical conversations with engineering teams on topics like infrastructure, migrations, platform services, and cloud cost/operations, without needing to be a…
Added 1 hour ago
MF
Cloud Platform Engineer
MTY Food Group
Montreal, QC
- Full-time
We are seeking a skilled and proactive Cloud Platform Engineer to manage, monitor, and optimize our Amazon Web Services (AWS) and Google Cloud Platform (GCP) environments. This role will be…
Added 1 hour ago
V
Instrument Operator Technician (6 Month Contract)
VitalBio
Oakville, ON
- Full-time
…electromechanical prototypes. This is not a passive role; it requires an engineer’s mindset to spot anomalies, a coder’s logic to automate tasks, and a scientist’s rigour regarding data…
Added 2 hours ago
SS
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
- Full-time
client is looking for a senior software engineer - a builder first - for our AI Solutions team. This is a hands-on development role, not machine-learning research: you’ll build production…
Added 2 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
…managing dependencies across research teams, engineering teams, platform groups, and business…
Added 2 hours ago
LM
Technical Co-op I: Software Development Intern
Lockheed Martin
Calgary, AB
- Full-time
The successful candidate will be responsible for developing reliable, mission critical, cross platform software, this includes:
Added 3 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 4 hours ago
K
Founding CTO
Kouvre
Montreal, QC
- Full-time
…an owner sends has to become the right action, on the right platform, reliably, so they can trust Kouvre with their business and get back to their…
Added 6 hours ago
AM
Systems Validation Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will execute on SOC and system/rack level validation, triage and debug for the AMD Data…
Added 6 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 8 hours ago
Mission Manager, National Security, Mandiant
Google
Ottawa, ON
Relevant industry certifications (e.g., CISSP, CCSP, Google Cloud Certified Professional Cloud Security Engineer, or equivalent).
Added 9 hours ago
B
Observability Engineer – Kubernetes Platform
BullTechSystem
Halifax, NS
- Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.

RBC

Principal AI Engineer, Agentic Models and Data Platforms

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: 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

Original job description

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.

Apply 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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