Jobs in Canada

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Added 1 month ago
E
Spécialiste IA et automatisation de processus
EXFO
Montreal, QC · Quebec, QC
- Full-time
Collaborer avec les développeurs MLOps à l’évolution de notre plateforme agentique en identifiant les besoins liés aux connecteurs, à l’orchestration, aux permissions et à l’intégration.
Added 1 month ago
PO
Machine Learning Developer
P&P Optica
Waterloo, ON
- $115,000 to $120,000 CAD / year
- Full-time
We are looking for a rigorous, delivery-focused Machine Learning Developer with 3 or more years of experience who thrives at the intersection of software development and machine learning…
Added 1 month ago
Senior Data Scientist
Scotiabank
Toronto, ON
Collaborate with Data engineering team to implement and manage MLOps best practices, establishing continuous integration, continuous delivery, and model monitoring pipelines to ensure…
Added 1 month ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Must have worked on Snowflake Cost optimization scenarios
Added 1 month ago
ET
Senior Data Architect
Encore Technical Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Define data architecture standards that support GenAI, MLOps pipelines and LLM integrations
Added 1 month ago
Senior Product Solutions Analyst
Scotiabank
Toronto, ON
Strong understanding of classical machine learning, model development, MLOps, and generative AI
Added 1 month ago
O
DevOps IA
Onepoint
Montreal, QC
- Full-time
Partager avec l’équipe les meilleures pratiques en MLOps et en programmation assistée par l'IA.
Added 1 month ago
W
DevOps IA
Wepoint
Montreal, QC
- Full-time
Partager avec l’équipe les meilleures pratiques en MLOps et en programmation assistée par l'IA.
Added 1 month ago
C
Senior Consultant, AI Safety and Guardrails Engineering
CIBC
Toronto, ON
- Full-time
…deploy AI. Working closely with Machine Learning Operations (MLOps), platform engineering, architecture, cybersecurity, risk, and AI delivery teams, you’ll help integrate governance into…
Added 1 month ago
IF
Data Engineer, Investments
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Added 1 month ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Experience with MLOps and model deployment pipelines.
Added 1 month ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Export Development Canada operates under a hybrid work model, with employees currently required to work from the office three days per week
Added 1 month ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
Enable and support MLOps workflows, including data pipelines, feature engineering, and integration with AWS SageMaker for model training, deployment, and monitoring.
Added 1 month ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $65,172 to $86,898 CAD / year
- Full-time
Export Development Canada operates under a hybrid work model, with employees currently required to work from the office three days per week
Added 1 month ago
A
Senior Manager, Data Governance Implementation
Aviso
Toronto, ON
- $115,000 to $135,000 CAD / year
- Full-time
Added 1 month ago
AW
Senior Manager, Data Governance Implementation
Aviso Wealth
Remote, Canada
- $115,000 to $135,000 CAD / year
- Full-time
- Remote
Added 1 month ago
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Développeur Logiciel Principal.e, Plan de Contrôle - Laboratoire d'IA Souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
…mécanismes de déploiement et opérationnels, les ingénieur·e·s MLOps posséderont les composants d'exécution (runtime), et vous transformerez ces capacités en un produit…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 1 month ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
…manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of…
Added 1 month ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
Pwc Canada
Toronto, ON · Calgary, AB · Ottawa, ON · Vancouver, BC
- Full-time
Added 1 month ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
Added 1 month ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
…engineering pipelines. Working closely with Platform Engineering, MLOps and other technical teams, the successful candidate will help establish modern DevOps patterns and standards while…

Closed listing

RBC

Principal AI Engineer, Agentic Models and Data Platforms

Calgary, AB, 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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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</a/span>

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

Lead the design and delivery of agentic AI systems, RAG solutions, evaluation and observability capabilities, and scalable data pipelines and governed data products. Build secure, reliable backend services and reusable platform components while partnering with stakeholders and domain teams to establish standards and support production operations.

Requirements

Requires a bachelor’s degree in computer science or a related technical field, or equivalent experience, and 10+ years of professional software engineering experience with strong Python and SQL skills. Candidates should have experience with scalable backend and data engineering systems, production APIs, AI-powered applications, and security in regulated environments; a master’s degree and experience with agent frameworks, MLOps/LLMOps, DevOps, and Agile or SAFe are preferred.

Skills

Python
SQL
PySpark
Databricks
Apache Spark
Apache Airflow
Apache Kafka
Snowflake
Agentic AI Systems
Retrieval-Augmented Generation
Vector Search
Backend Architecture
Data Engineering
API Development
AI Evaluation
OAuth 2.0

Benefits

Bonuses
Flexible Benefits
Competitive Compensation
Commissions
Stock
Coaching and Development Opportunities
Training Program

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Databricks
Databricks SQL
Apache Spark
Apache Airflow
Apache Kafka
Snowflake
Node.js
Apigee
Agentic AI
Retrieval-Augmented Generation
Vector Search
Embeddings
Reranking
LLM Application Development
AI Evaluation
AI Observability
Data Engineering
Data Products
Lakehouse
Data Warehousing
Streaming Data
Backend Services
API Development
OAuth 2.0
LDAP
Kerberos
Vault

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Work requirements

Jobs in Canada