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Added 12 mins ago
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Data Governance Architect
Infostrux
Toronto, ON
- Full-time
We help organizations unlock the value of their data by building modern, cloud-native platforms that power analytics, AI, and machine learning. Our work spans the modern data stack -…
Added 42 mins ago
S
Software Engineer Intern
symplistic.ai
Woodbridge, ON
- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.
Added 2 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 2 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Added 2 hours ago
MC
Senior Data Engineer Azure Data Factory Developer (35968)
Myticas Consulting
Toronto, ON
- Contract
Our client is seeking two Senior Data professionals to support a data engineering and integration initiative: one Data Engineer specializing in Databricks and Apache Spark, and one Azure…
Added 2 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Microsoft certifications such as Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
Added 2 hours ago
MC
Azure Databricks Cloud Migration & Platform Engineer (36101)
Myticas Consulting
Toronto, ON
- Contract
Azure Databricks Cloud Migration & Platform Engineer
Added 4 hours ago
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Growth Marketing Engineer (Content)
Ground
Toronto, ON
- Full-time
We’re looking for a Growth Marketing Engineer (Content) who can identify what’s driving results, understand why it works, and build the systems and experiments to scale it, with a deep…
Added 4 hours ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable…
Added 7 hours ago
TC
Sr. IFRS17 Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 8 hours ago
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Test Automation Lead
Accenture
Mississauga, ON
- Full-time
We are looking for a Mainframe Quality Engineer to ensure the quality, accuracy, and resilience of mainframe-based retail banking and investment applications. You will design and execute…
Added 10 hours ago
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Optical AI Product Line Manager
Ciena
Ottawa, ON
- Full-time
…American Communications Service Providers (CSPs) on how to engineer and monetize their optical networks for AI training and inference traffic. Working with the customer, Sales and Sales…
Added 16 hours ago
AS
Cloud DevOps Engineer
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 23 hours ago
A
Senior Python Developer
Ampliwork
Brossard, QC
- Full-time
…important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise…
Added 23 hours ago
A
Senior Python Developer
Ampliwork
Montreal, QC
- Full-time
…important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise…
Added 1 day ago
TL
Product focused Software Engineer
Total Life, Inc.
Remote, Canada
- Full-time
- Remote
Fluency with data. You’re comfortable with SQL, analytics tools and experiment design, and you can explain what moved a metric and why
Added 1 day ago
S
Platform Software Engineer - Fintech
SweetTech
Montreal, QC
- Full-time
…reusable products. We are looking for a hands-on Platform Software Engineer to make those capabilities reliable, secure, and straightforward for engineers and AI agents to…
Added 1 day ago
IU
Backend Python AI Engineer
iTech US Inc
Canada
- Contract
We are looking for a hands-on Python AI Engineer to build and enhance an enterprise knowledge platform evolving from traditional RAG-based chatbots toward advanced, agent-driven knowledge…
Added 1 day ago
TL
Product focused Software Engineer
Total Life
Vancouver, BC
- Full-time
Fluency with data. You're comfortable with SQL, analytics tools and experiment design, and you can explain what moved a metric and why
Added 1 day ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Ottawa, ON
- Full-time
Added 1 day ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Toronto, ON
- Full-time
Added 1 day ago
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Marketing Engineer & Director of AEO
Notified
Toronto, ON
- Full-time
…step from press release distribution, media targeting, and analytics to IR websites, earnings and investor events, and regulatory filings. Powered by GlobeNewswire, one of the largest and…
Added 1 day ago
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Stage - Hiver 2027 - Ingénieur client et Nouveau programme moteur / Internship - Winter 2027 - Customer Engineering & New Engine Program
RTX
Longueuil, QC
- Full-time
Added 1 day ago
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Lead Data Scientist
AgileGrid Solutions
Canada
- Full-time
…performance. You will also work closely with the Lead Applied AI Engineer, whose focus includes generative AI, LLMs and agentic systems. There are no direct reports initially, but the role…
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…

Closed listing

Royal Bank of Canada

Principal AI Engineer, Agentic Models and Data Platforms

Calgary, AB, T2P 1C9, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

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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 architecture and implementation of agentic systems, RAG solutions, and scalable data platforms. They will also establish high-quality engineering practices, observability, and governance for AI-powered services 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 data engineering platforms is required, along with practical experience in LLM application development and system design.

Skills

Python
SQL
Spark
Databricks
Machine Learning
Software Engineering
Data Engineering
Retrieval Augmented Generation
LLM Application Development
System Architecture
Cloud Infrastructure
API Design
Data Pipelines
Observability
Agile
Critical Thinking

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Coaching and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

AI Engineering
Agentic Models
Python
SQL
Spark
Databricks
RAG
LLM
Data Pipelines
Software Engineering
API
Machine Learning
Observability
Cloud Computing
Data Governance
System Architecture
PySpark
Airflow
Kafka
Snowflake
OAuth 2.0
CI/CD
DevOps
Agile
Data Lifecycle Management
Vector Search
Prompt Engineering
Telemetry
Infrastructure as Code
Financial Services

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