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Added 2 mins ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
…implementation of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large…
Added 2 mins ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 18 mins ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 32 mins ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 48 mins ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations…
Added 1 hour ago
Intermediate Site Reliability Engineer
ContactMonkey
Toronto, ON
Around 3–5 years of experience in SRE, DevOps, platform engineering, cloud operations, or a related engineering role. Equivalent practical experience is welcome.
Added 1 hour ago
M
Data Specialist
McKesson
Mississauga, ON
- Full-time
…building scalable data pipelines, modern analytics solutions, and cloud-based data engineering capabilities that power reporting, insights, and data-driven decision making across the…
Added 2 hours ago
D-
Chef d'Équipe DevOps
DELAN - IT Talent Solutions
Ottawa, ON
- Full-time
Le Chef d’Équipe DevOps sera responsable de diriger techniquement une équipe composée de DevOps et de DBA Oracle/PostgreSQL.
Added 2 hours 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 2 hours 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 2 hours ago
KG
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
Exposure to cloud-native technologies, observability tooling, and modern DevOps practices.
Added 3 hours ago
TC
GCP Infrastructure & Cloud SRE Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
GCP Professional Cloud Architect and/or Professional Cloud DevOps Engineer certification.
Added 3 hours 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 3 hours ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
The role requires an engineer who can leverage AI assisted development tools and coding agents to accelerate automation, analyze existing codebases, generate and validate test scenarios,…
Added 3 hours 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 3 hours 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 12 hours ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making…
Added 13 hours ago
C
AKS Workstream Lead
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
Lead detailed design, implementation, security integration, validation, and handover of the enterprise AKS platform.
Added 14 hours ago
MT
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
The Senior Azure Engineer (Azure Consultant) is a key technical role responsible for designing, delivering, and supporting modern cloud and hybrid IT platforms for our customers. This…
Added 14 hours ago
MT
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
Added 15 hours ago
I
Cloud Platform Engineer
Insight
Remote, Canada
- Full-time
- Remote
As a Cloud Platform Engineer, you will focus on project delivery across Azure and AWS environments. We will count on you to contribute to infrastructure design, implement platform…
Added 16 hours ago
R&
Site Reliability Specialist
Robertson & Company Ltd.
Toronto, ON
- Contract
Support cloud migration, modernization, and platform transformation initiatives
Added 17 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 18 hours ago
AI
Senior Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Experience in Banking / Financial Services domain Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and…
Added 18 hours ago
IG
Software Developer
Insight Global
Newmarket, ON
- Full-time
…customers worldwide. This role is ideal for a backend-focused engineer who is passionate about developing scalable applications, building robust APIs, and contributing to modern cloud-based…

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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