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Added 1 hour ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions…
Added 6 hours ago
CS
Data Engineer
Curis Solutions
Engineer, BC
- Full-time
We are seeking a skilled and motivated Data Engineer with a strong focus on designing, implementing, and optimizing ETL pipelines. The ideal candidate will bring extensive experience in…
Added 7 hours ago
MT
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
A strong focus on collaboration and continuous improvement is key. The Senior Azure Engineer will work with colleagues across engineering, security, and service teams to implement best…
Added 7 hours ago
C
Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior QA Automation Engineer to join our growing Quality Engineering team. This is a hands-on role for a quality engineering professional with strong…
Added 9 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
Evaluate, prototype, and roll out new tools and technologies to support the DevOps automation transformation effort.
Added 11 hours ago
AS
Senior Site Reliability / DataOps Engineer
Apex Systems
Toronto, ON
- $40 to $60 USD / hour
- Contract
…Reliability Engineering (SRE) model, with an increased focus on automation, observability, DevOps/DataOps practices, deployment reliability, and production…
Added 11 hours ago
RB
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated QA.
Added 12 hours ago
MP
Lead Data Engineer (ITA7)
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Establish engineering standards, reusable frameworks, automation and DataOps/DevOps practices
Added 13 hours ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team.
Added 13 hours ago
S
AI Engineer
Stripe
Toronto, ON
- Full-time
…users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org - building production-quality tooling, supporting our…
Added 13 hours ago
C
Infrastructure DevOps Analyst
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior DevOps Engineer with a strong focus on Python development to join our dynamic Technology team. In this intermediate-level position,…
Added 13 hours ago
M
Full-Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
5+ years Full Stack Software Engineer experience
Added 13 hours ago
E
Ingénieur en développement logiciel de tests (SDET)
EXFO
Montreal, QC
- Full-time
…l’ingénierie logicielle, l’ingénierie de la qualité et les pratiques…
Added 13 hours ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Evaluate and apply emerging technologies, including Generative AI and AI-assisted development tools, to improve engineering productivity and software quality.
Added 14 hours ago
T
Senior Quality Engineer
TEEMA
Toronto, ON
- Contract
We’re looking for a Senior Quality Engineer with strong experience in data quality, QA automation, and enterprise data platforms.
Added 14 hours ago
R
Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated QA.
Added 14 hours ago
PX
Sr. Data Platform Engineer
Project X
Toronto, ON
- Full-time
You will establish reusable platform capabilities, engineering standards and automation that help data engineering teams deliver reliably and efficiently. The role combines deep…
Added 14 hours ago
E
Principal Application DevOps Engineer, AI & Automation
Entrust
Canada
- Full-time
…on-premises cloud infrastructure. The Principal Application DevOps Engineer, AI & Automation will bring an application-first engineering perspective to Cloud Services and serve as a key…
Added 14 hours ago
D
Senior DevOps Engineer - Healix
Deloitte
Toronto, ON
- Full-time
We are hiring a Senior DevOps Engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…
Added 15 hours ago
R
Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated QA.
Added 15 hours ago
M
Senior DevOps Engineer
Miovision
Remote, Canada
- $130,000 to $170,000 CAD / year
- Full-time
- Remote
We are currently looking for a Senior DevOps Engineer to contribute to the development of our cloud infrastructure and platform tooling, embed security into our engineering lifecycle, and…
Added 16 hours ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and…
Added 17 hours ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
…engineers, and technology professionals to help support the tools, systems, and processes that enable the delivery of customer-focused solutions. You will gain exposure to DevOps practices,…
Added 18 hours ago
RA
Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)
Recrute Action
Toronto, ON
- Contract
Recruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach. As part of the screening process, some applications may be…
Added 18 hours ago
IB
Quality Assurance Engineer
IEG Business Solutions
Montreal, QC
- Full-time
IEG is looking for a detail-oriented and analytical Quality Assurance (QA) Engineer to join our team in Montréal.

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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