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Added 18 mins ago
SP
Director, Finance Data Strategy & Stewardship
Salesforce Partner Canada
Toronto, ON
- Full-time
Oversee processes related to Finance reporting controls, SOX testing support, and data certification.
Added 1 hour ago
Copy of Senior Software Development Engineer in Test, ML
PlayStation Global
Waterloo, ON
…product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence…
Added 1 hour ago
CC
RQ11620 - Software Developer - Senior
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
Experience in systems re-engineering, workflow optimization, and automation.
Added 1 hour ago
VT
Java Full Stack Engineer - Artificial Intelligence
Viva Tech Solutions
Toronto, ON
- Contract
Experience with Azure DevOps, Git, CI/CD pipelines, automated testing, and deployment automation.
Added 1 hour ago
VT
Quality Engineer - AI Chatbot Validation
Viva Tech Solutions
Toronto, ON
- Contract
5+ years of relevant experience in Quality Engineering, Quality Assurance, test automation, or software development.
Added 2 hours ago
JA
winder-repairer, industrial motors
JF Automation Inc.
Mississauga, ON
- Full-time
Added 2 hours ago
JA
electromechanical technician
JF Automation Inc.
Mississauga, ON
- Full-time
Added 3 hours ago
RB
Lead Quality Engineer - Automation (Data)
Royal Bank of Canada
Toronto, ON
- Full-time
Application Testing, Decision Making, Detail-Oriented, Group Problem Solving, IT Quality Assurance, Long Term Planning, Predictive Analytics, Programming Languages, Software Product…
Added 3 hours ago
TC
Industrial Engineering Manager
TJX Canada – Winners, Marshalls, HomeSense
Mississauga, ON
- $89,208 to $135,086.4 CAD / year
- Full-time
Evaluate automation and technology solutions that improve labour productivity and efficiency.
Added 4 hours ago
SI
CRM Analyst
Saskatchewan Indian Institute of Technologies (SIIT)
Saskatoon, SK
- Full-time
…configuration, workflow support, troubleshooting, user assistance, testing, data quality and operational reporting. The position supports application and advising processes across programs,…
Added 4 hours ago
A
Ingénieur En Mécanique / Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
…gearboxes, bearings, and mechanical components. Work closely with automation, electrical, manufacturing, and project teams. Support equipment installation, testing, and commissioning.…
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
Use AI-assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
Use AI-assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- Full-time
Use AI-assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
Use AI-assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
Use AI-assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Use AI-assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
Use AI-assisted automation to improve update analysis, testing, documentation, release notes, regression review, and operational support.
Added 4 hours ago
SH
Accounts Receivable Manager
Sandman Hotel Group
BC · West Vancouver, BC
- Full-time
Support ERP enhancements, system testing, implementations, and process documentation.
Added 4 hours ago
LB
Software Developer, Platform & AI Solutions
Laurentian Bank
Burlington, ON
- Full-time
Diagnose and resolve production issues, support platform enhancements, and contribute to stable day-to-day operations across development, testing, and production environments.
Added 4 hours ago
HT
Maintenance Technician
Husky Technologies
Bolton, ON
- Full-time
…systems. Implement software updates, new tooling systems, and automation integrations as required by the production…
Added 4 hours ago
C
Field Technical Lead - Security Systems
Convergint
Toronto, ON · Etobicoke, ON
- Full-time
…include security, fire alarm & life safety, and/or building automation. Colleague is key interface for the provision of technical support and training for the customer and as such is…
Added 4 hours ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Improve reporting automation and self-service analytics capabilities where possible.
Added 4 hours ago
C
Automations Systems Technician
Convergint
Oldcastle, ON
- Full-time
Job Description: Convergint is looking for a full-time, enthusiastic, results driven and forward-thinking Building Automation Technician to join our amazing culture in Windsor, ON. As a…
Added 4 hours ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Leverage BI tools and automation to streamline reporting and enhance insights

Expert AI Engineering-CA

Quebec, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Dec 2, 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: Nov 2, 2026

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, workflows, and reusable services that address business needs. Integrate solutions with enterprise data and platforms, support production monitoring and continuous improvement, and document designs and operational requirements.

Requirements

Requires 2–5 years of experience in software engineering, data engineering, machine learning engineering, AI engineering, or a related technology delivery role, along with a bachelor's degree in a relevant field or equivalent experience. Candidates should have strong Python and SQL skills and experience with generative AI, LLMs, RAG, AI platforms, APIs, and software engineering practices; listed cloud and AI certifications are assets.

Skills

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agents
Machine Learning
Vertex AI
Databricks
Data Engineering
API Development
Model Evaluation
AI Governance
CI/CD
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Engineering
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
Docker
Kubernetes
Responsible AI

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