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Added 36 mins ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 36 mins ago
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
Full-time
Experience using analytics libraries and frameworks such TensorFlow, scikit, NumPy
Added 36 mins ago
Software Developer, Metadata
RBC
Calgary, AB
Full-time
…management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical…
Added 36 mins ago
Associate Director - Lead Software Developer
RBC
Toronto, ON
Full-time
We are looking for a highly motivated, top-notch software engineer who is a great team player constantly thinking about quality, maintainability, robustness, and simplicity in all generated…
Added 36 mins ago
Software Development Engineer (Full Stack) - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
Evisort Engineering is growing! As a Fullstack Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 36 mins ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Added 1 hour ago
Senior Full-Stack Developer
St. Joseph Communications
Toronto, ON
$100,000 to $120,000 CAD / year
Ramp up on and eventually contribute to the technical implementation of our ad stack, including Header Bidding and Google Ad Manager, working closely with our AdOps engineer.
Added 1 hour ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
Our Enterprise Data Platform team builds and operates the cloud data platform that powers analytics, reporting, and AI across HOOPP. As a Senior Data Engineer, reporting to the Senior…
Added 1 hour ago
Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
…transactions, valuations, and market data. As a Senior Data Solution Engineer, reporting to the Senior Manager, Investment Data Operations, you will own outcomes from first detection…
Added 1 hour ago
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
Expedia Group
Montreal, QC · Canada - Quebec - Montreal
Full-time
Added 2 hours ago
AI System/Hardware Architect
Qualcomm
Markham, ON
Full-time
We are searching for a season AI Systems Architecture Engineer to be part of the Qualcomm AI Processor team responsible for analyzing and developing Artificial Intelligence / Machine…
Added 2 hours ago
Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
We are seeking a Senior AI Forward Deployment Engineer to join the Artificial Intelligence team within Norton Rose Fulbright Canada. This role will design, build, deploy, and optimize…
Added 2 hours ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Added 2 hours ago
Business Systems Engineer, AI
Canadian Tire Corporation
Toronto, ON · Oakville, ON
Full-time
We’re looking for an AI-first Business System Engineer - AI to help accelerate how CTC teams adopt, design, and scale intelligent ways of working. This role sits at the intersection of…
Added 2 hours ago
Software Development Engineer - II, Sales Technology, Amazon Advertising
Amazon
Vancouver, BC
As a Software Development Engineer, you will be designing and developing automated solutions that help guarantee the software quality across a wide range of devices and web. You will be…
Added 3 hours ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Advanced business process knowledge in one or more of the following areas: Finance, Discrete Manufacturing, Engineer-to-Order (ETO) Manufacturing, Supply Chain, Warehouse Management, and…
Added 3 hours ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 3 hours ago
Cloud Network Engineer II
TD
Toronto, ON
Full-time
As a Cloud Network Engineer, you will be responsible for engineering, automating, and supporting enterprise cloud networking solutions across Azure, AWS, and GCP. This role combines deep…
Added 3 hours ago
Senior Python Data Scraping Engineer (Freelance)
Mindrift
Remote, Canada
Part-time · Remote
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing,…
Added 3 hours ago
Cloud DBA
BMO
Toronto, ON · SCC
Full-time
Design, engineer, deploy, and support cloud database platforms, with a strong focus on AWS RDS, Amazon Redshift, Azure SQL Database, Azure SQL Managed Instance, and Microsoft Fabric.
Added 3 hours ago
Senior Software Engineer
AXIS (AXIS Capital)
Halifax, NS
Full-time
…and Modelling systems. This position is for a Senior Software Engineer in the Reinsurance and Enterprise Risk, Pricing & Modelling Systems department which is responsible for the…
Added 3 hours ago
Senior AI Full‑Stack Engineer
Manulife
Waterloo, ON
Full-time
We are seeking a Senior Full‑Stack AI Engineer to help shape how modern AI‑driven software is built, deployed, and scaled. In this role, you will work at the intersection of cloud…
Added 3 hours ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial…
Added 4 hours ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &…
Added 4 hours ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
We are seeking a highly skilled Software Engineer to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role is crucial in implementing tooling…

Manager AI Engineering-CA

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 25, 2026
Experience: Between 2 to 5 years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or related technology delivery roles
Posting language: English
Posted: Sep 25, 2026

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Original job description

Job Summary

The incumbent is responsible for designing, building, integrating, and operationalizing enterprise artificial intelligence (AI) solutions that support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates business opportunities into production-grade AI applications, AI agents, intelligent workflows, reusable components, and platform-integrated services. The incumbent works across software engineering, data engineering, machine learning, and generative AI to deliver secure, governed, reliable, and scalable AI solutions using CN-approved platforms and patterns. The role collaborates with AI architects, platform engineers, AI operations, data scientists, data engineers, business partners, cybersecurity, governance, architecture, and vendor teams to move AI use cases from concept to production.

Main Responsibilities

AI Engineering and Solution Delivery

Design, develop, test, and deploy AI-powered applications, AI agents, and intelligent workflows that address business needs and deliver measurable value
Build and enhance generative AI, machine learning, and automation solutions using CN-approved engineering patterns, platforms, and controls
Implement Retrieval Augmented Generation (RAG), prompt engineering, model evaluation, and AI workflow automation patterns to support scalable production solutions
Develop reusable application programming interfaces (APIs), services, and components that accelerate AI delivery and promote consistency across use cases

Data and Platform Integration

Integrate AI solutions with enterprise applications, data platforms, business processes, and operational workflows
Develop and optimize data pipelines, services, and interfaces that support reliable, secure, and scalable AI applications
Contribute to enterprise AI platforms, including Databricks, Gemini Enterprise, Vertex AI, and related technologies, to support solution delivery
Collaborate with data engineers, platform teams, and business partners to ensure AI solutions are aligned with enterprise architecture, data quality, and operational requirements

Governance, Operations and Continuous Improvement

Apply AI governance, security, privacy, Responsible AI, and model risk controls throughout the solution lifecycle
Support production deployment, monitoring, troubleshooting, quality evaluation, red-teaming, hallucination mitigation, and continuous improvement of AI solutions
Document technical designs, decisions, limitations, and operational requirements to support maintainability, auditability, and successful handover

Working Conditions

The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN's hybrid work model. The role involves managing priorities and delivering work within established timelines, with support from the team to ensure sustainable and effective workload management.Requirements

Experience

AI Engineering

Between 2 to 5 years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or related technology delivery roles
Experience building enterprise copilots, chatbots, document intelligence solutions, workflow assistants, AI agents, or agentic applications
Experience with generative AI, large language models (LLMs), Retrieval Augmented Generation (RAG), vector search, embeddings, prompt engineering, agents, and model evaluation
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms*
Experience implementing observability, quality evaluation, red-teaming, hallucination mitigation, safety controls, and continuous improvement practices for AI systems*
Candidates with an equivalent combination of education, training, and experience will be considered
Any requirement above marked with (*) would be considered as an asset (not mandatory)

Education/Certification/Designation

Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Technology, Engineering, or a related field, or equivalent experienceGoogle Cloud, Vertex AI, Machine Learning Engineer, Data Engineer, or related cloud or AI certification*Candidates with equivalent practical experience, education, or training will be considered*Any requirement above marked with (*) would be considered as an asset (not mandatory)

Competencies

We Care About Each Other
We Strive for Excellence
We Succeed Together
We Lead Responsibly
Vision and strategic thinking
Impactful and inclusive leadership
Performance and value delivery
Empowerment and talent development
Strategic communication and influence
Managerial courage and decisiveness
Compliance
Customer service
AI Literacy and data orientation
High-Impact Execution
Process optimization

Technical Skills/Knowledge

Strong programming skills in Python and Structured Query Language (SQL), with experience using APIs, Git, CI/CD, testing, and software engineering practices
Knowledge of AI frameworks and tools such as LangChain, LangGraph, CrewAI, AutoGen, FastAPI, Streamlit, Docker, Kubernetes, or related technologies
Understanding of data governance, data quality, metadata, lineage, security, privacy, Responsible AI, and enterprise technology delivery practices

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More about this job

Responsibilities

Design, build, integrate, and operationalize secure, governed, and scalable AI applications, agents, and workflows that address business needs. Integrate solutions with enterprise data and platforms, and support production deployment, monitoring, evaluation, documentation, and continuous improvement.

Requirements

Requires 2–5 years of experience in software, data, machine learning, or AI engineering, including experience delivering enterprise AI applications and working with generative AI, LLMs, RAG, and related techniques. Requires a bachelor's degree or equivalent experience, strong Python and SQL skills, and familiarity with AI frameworks, cloud and data platforms, and enterprise security and governance practices.

Skills

AI Engineering
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agents
Python
SQL
Google Cloud Platform
Vertex AI
Databricks
Data Engineering
API Development
AI Governance
Model Evaluation

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Vector Search
Embeddings
Prompt Engineering
AI Agents
Model Evaluation
Python
SQL
Google Cloud Platform
Vertex AI
Gemini Enterprise
Databricks
Apache Spark
PySpark
Delta Lake
Unity Catalog
MLflow
LangChain
LangGraph
CrewAI
AutoGen
FastAPI
Streamlit
Docker
Kubernetes
CI/CD

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