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Added 1 hour ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
You are a hands-on senior QA automation engineer who can go beyond executing existing test scripts. You can design frameworks, understand complex backend integrations, trace data across…
Added 1 hour ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…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…
Added 1 hour ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Microsoft certifications such as Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
Added 5 hours ago
MS
Senior Software Quality Engineer
Myant Shared Service Corp.
Mississauga, ON
- Full-time
Use AI assistants to accelerate test design, test data generation, automation, analysis, and other quality engineering activities, while reviewing and validating AI-generated output.
Added 12 hours ago
T
Tooling SME, Product Delivery & Transformation
TD
Toronto, ON
- Full-time
The successful candidate will bring 7-10+ years of hands-on experience across delivery tooling, workflow design, data and analytics, and process reengineering, with deep working knowledge…
Added 15 hours ago
LLM Engineer
ZS
Toronto, ON
…live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful…
Added 15 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
…capabilities align with business needs and supports strong data governance and operational…
Added 16 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…This role primarily focuses on manual testing with exposure to automation, supporting end-to-end verification of system functionality and data integrity. Operating in an offshore…
Added 16 hours ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
10 or more years of experience across Artificial Intelligence, Machine Learning, Data Science, advanced analytics, or related technology consulting disciplines.
Added 17 hours ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an…
Added 19 hours ago
SI
Building Maintenance Mechanic
Saputo Inc.
Mississauga, ON
- Full-time
The Power BI Developer plays a critical role in driving data‑driven decision‑making, enabling self‑service analytics, and providing hands‑on guidance and support to business users working…
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…experience in managing product lifecycles and implementing automation solutions. The ideal candidate will have a strong background in UiPath, ensuring efficient process automation and…
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
ANSI SQL, Data Modelling, CI & CD, Data Analysis, ANSI SQL Skills, DW/BI Knowledge OLPT, DW/BI Knowledge OLAP, Relational Database Knowledge - Tables, Relations, Types, Database Model 3NF,…
Added 20 hours ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
…live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful…
Added 20 hours ago
O
AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
Our approach is simple: Automate Improvement. We identify areas where data, AI and automation can remove friction, accelerate decision-making and improve how the business operates at scale.
Added 20 hours ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 21 hours ago
TT
CNC Machining Centre Programmer
Titan Trailers Industries Limited - UK
Tillsonburg, ON
- Full-time
Experience with 3d modeling programs such as Creo/Pro Engineer, AutoCAD inventor, solidworks, Rhino, Sketchup, Catia an asset.
Added 21 hours ago
TT
Co-op or Recent Graduates - CNC Programmers
Titan Trailers Industries Limited - UK
Tillsonburg, ON
- Full-time
Experience with 3d modeling programs such as Creo/Pro Engineer, AutoCAD inventor, solidworks, Rhino, Sketchup, Catia an asset.
Added 21 hours ago
FI
QA Analyst
Fellow Insights Inc.
Remote, Canada
- Full-time
- Remote
A QA Engineer focused only on automation. Automation experience matters here, but the center of the role is manual QA and holistic testing.
Added 23 hours ago
𝗔erospace 𝗢penings
Sapsol Technologies Inc
Montréal-Est, QC
🔹 2. Programmer – Aerospace Metrology Automation
Added 23 hours ago
𝗔erospace 𝗢penings
Sapsol Technologies Inc
Longueuil, QC
🔹 2. Programmer – Aerospace Metrology Automation
Added 23 hours ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 1 day ago
Y
GenAI Prompt Engineer
Yochana
Toronto, ON
- Contract
Collaboration: Work closely with crossfunctional teams including data scientists, engineers, and product managers to implement and test improvements.
Added 1 day ago
Test Development Team Lead
Nureva
Calgary, AB
The ideal candidate is a strong software engineer with a passion for quality, automation, and
Added 1 day ago
OA
Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.

Manager AI Engineering-CA

Quebec, QC, Canada

Full-time

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Job details

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

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, and support deployment, monitoring, evaluation, risk controls, 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, software engineering practices, and responsible AI controls.

Skills

AI Engineering
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agents
Python
SQL
Google Cloud Platform
Vertex AI
Gemini Enterprise
Databricks
Data Engineering
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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