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Added 7 mins ago
M
Lead Enterprise Technology Domain Architect, GTCS
Manulife
Toronto, ON
- Full-time
Experience working in Agile and product-based delivery environments.
Added 37 mins ago
R&
Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
Added 38 mins ago
BI
Staff Machine Learning / Operations Research Engineer
Burq, Inc.
Remote, Canada
- Full-time
- Remote
Strategic partnership: work with Product and leadership to shape product strategy and identify where ML and OR create competitive advantage
Added 38 mins ago
E
Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Experience leading production-grade data pipelines, automation solutions, AI-enabled tools or machine learning capabilities, and/or project management, agile delivery, change management, or…
Added 53 mins ago
T
Application Security Engineer II
Thumbtack
Remote, Canada
- Full-time
- Remote
We partner closely with Product, Engineering, Platform, and Data teams to shape system design, guide architectural decisions, and evolve Thumbtack’s security posture as the company scales.…
Added 53 mins ago
RB
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
Hands on experience with data engineering platforms and tools, commonly including Python, PySpark, Databricks, Airflow, Kafka, Snowflake, and modern data integration patterns.
Added 1 hour ago
E
Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Experience leading production-grade data pipelines, automation solutions, AI-enabled tools or machine learning capabilities, and/or project management, agile delivery, change management, or…
Added 1 hour ago
E
Product Owner
EllisDon
Mississauga, ON
- Full-time
Experience with, or strong working comfort in, AI-enabled and agentic workflows (e.g. low-code/no-code agent-building tools, AI-assisted analysis), and the ability to identify where…
Added 1 hour ago
E
Product Owner
EllisDon
Mississauga, ON
- Full-time
Experience with, or strong working comfort in, AI-enabled and agentic workflows (e.g. low-code/no-code agent-building tools, AI-assisted analysis), and the ability to identify where…
Added 1 hour ago
X
Backend Engineer (Go)
Xsolla
Montreal, QC
- Full-time
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Halifax, NS
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
M
Lead Infrastructure Architect, GTCS
Manulife
Toronto, ON
- Full-time
Experience with infrastructure automation, DevSecOps, Infrastructure as Code, and platform engineering practices.
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
Mobile Application Store Analyst
Government of Alberta
AB
Apply advanced AI fluency by using generative and agentic tools for drafting, analysis, retrieval, and automation, with sound judgment to assess risk, accuracy, and sensitivity of outputs.
Added 1 hour ago
V
Sales & Pricing Analyst - Brampton, ON
Victaulic
Brampton, ON · Toronto, ON · Ontario - Toronto
- Full-time
Experience leveraging AI, automation, or advanced analytics tools to improve business processes and reporting efficiency.
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
SS
Azure Infrastructure Engineer
Sonata Software North America Inc.
Toronto, ON
- Full-time
…-first approach cuts across Cloud, Data, AI, Dynamics, Test Automation, and Managed…

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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