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Added 53 mins ago
RB
Lead Quality Engineer - Automation (Data)
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Quality Engineer is responsible for creating and executing comprehensive end to end testing strategies and solutions, with focus on data validation, integrity testing, and quality…
Added 1 hour ago
C
Senior Silicon ML Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
Experience working with messy, real-world data and defining quality metrics
Added 3 hours ago
L
Senior Software Engineer
lululemon
BC · British Columbia, Canada
- Full-time
As a Senior Software Engineer, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing technical…
Added 4 hours ago
R
Founding Engineer, Build and Deployment
Rainharbor
Toronto, ON
- Full-time
…where a wrong answer is a broken commitment. You will be the engineer who makes sure it deserves that trust: helping shape the first release as it is built, proving it against its promises,…
Added 5 hours ago
AI
Senior Supplier Quality Engineer
Aversan Inc.
Montreal, QC
- $95,000 to $120,000 CAD / year
- Full-time
We are currently seeking a qualified Quality Assurance Specialist to join our team. In this role, you will lead supplier quality initiatives, ensuring compliance with AS9100 and…
Added 7 hours ago
S
Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 7 hours ago
V
Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks,…
Added 7 hours ago
TR
Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Research and identify new software technologies that can be leveraged to improve application performance and development efficiency, reducing cost and maintaining quality, working closely…
Added 7 hours ago
C
Senior Java Engineer – Agentic AI Driven Development
Citi
Mississauga, ON
- Full-time
Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot:Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to…
Added 7 hours ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 8 hours ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 8 hours ago
AC
Sr. Product Development Engineer - Mechanical Design For Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Amphenol High Speed Products Group develops high-speed, high-bandwidth interconnect solutions for telecom and datacom markets, including servers, storage, routers, and switches. Our…
Added 8 hours ago
O
Senior Software Engineer - AI Oversight
OpenMined
Remote, Canada
- $126,000 to $160,000 USD / year
- Contract
- Remote
As a Senior Software Engineer, you'll work most closely with our Technical Lead Manager for AI Oversight, and you'll build core parts of this system and the products on top of it. You'll…
Added 8 hours ago
'
Process Engineer
''
Carberry, MB
- Full-time
Serves as functional lead for process optimization using statistical data, including performing design of experiments on the production line and the development of functional process…
Added 9 hours ago
C
Expert AI Engineering-CA
CN
Quebec, QC
- Full-time
Collaborate with data engineers, platform teams, and business partners to ensure AI solutions are aligned with enterprise architecture, data quality, and operational requirements
Added 9 hours ago
RI
Lead Oracle Artificial Intelligence
Raas Infotek
ON · Ontario, Canada
- Contract
We are seeking a highly motivated and experienced Technical Lead, AI Delivery to join our Corporate Applications AI Solution Delivery Team. This role will lead the design, development,…
Added 9 hours ago
AI
Senior L3 AI Engineer
Apptoza Inc.
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
Added 9 hours ago
MF
Process Engineer
McCain Foods
Carberry, MB
- Full-time
Serves as functional lead for process optimization using statistical data, including performing design of experiments on the production line and the development of functional process…
Added 10 hours ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
We are seeking an experienced Team Lead, Software Engineering to provide hands-on technical leadership for a team of Software Engineers. The Team Lead will typically lead 3–5 engineers and…
Added 10 hours ago
KR
AI Delivery - Oracle Fusion AI
KTek Resourcing
Brampton, ON
- Contract
We are seeking a highly motivated and experienced Technical Lead, AI Delivery to join our Corporate Applications AI Solution Delivery Team. This role will lead the design, development,…
Added 10 hours ago
Project Engineer- Centre Of Excellence
Aecon
Cambridge, ON
Integrity. We lead by example, with humility and courage.
Added 10 hours ago
AC
Intermediate Electrical Engineering Project Manager
Accenture Construct
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
We are seeking an experienced Project Manager to lead the delivery of complex infrastructure construction projects based in Ottawa. This role is responsible for managing projects from…
Added 10 hours ago
AC
Infrastructure & Capital Projects - Project Manager, COM
Accenture Construct
Ottawa, ON · Greater Ottawa Metropolitan Area
- Full-time
We are seeking an experienced Project Manager to lead the delivery of complex infrastructure construction projects based in Ottawa. This role is responsible for managing projects from…
Added 11 hours ago
M
Senior Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a senior member of the team, you will be accountable for outcomes, not only assigned tasks. You will lead medium-sized technical initiatives from end to end, set a high engineering…
Added 12 hours ago
TR
Staff Software Engineer - II (KeyCite)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
As a Staff Software Engineer II at KeyCite, you will lead complex, business-critical engineering initiatives from architecture through production. You will modernise established platforms…

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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