Jobs in Canada

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Added 1 hour ago
M
Software Engineer II
Marqeta
Remote, Canada
- Full-time
- Remote
As Marqeta's Software Engineer II, you will deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined projects to achieve…
Added 4 hours ago
TI
Cyber Security Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 6 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
…discipline inputs – Business Development, Analysis, Electrical, Software, Fluid Power, Metallurgy, Manufacturing,…
Added 6 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 6 hours ago
TC
Quality Engineer
Tata Consultancy Services
Canada
- Full-time
We are seeking a Test Lead to provide end-to-end test leadership across enterprise technology initiatives. This role coordinates onshore and offshore testing teams, establishes effective…
Added 7 hours ago
GD
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
Computer Modeling & Simulation Staff Specialist/Engineer P55
Added 10 hours ago
GI
Embedded Software Engineer
Garmin International, Inc.
Cochrane, AB
- Full-time
May perform as a technical leader or Lead Software Engineer for derivative software project
Added 10 hours ago
GI
Algorithm Software Engineer
Garmin International, Inc.
Cochrane, AB
- Full-time
Garmin Canada has exciting opportunities for full-time Software Engineers who have a hunger for solving real-world problems with embedded systems. Exciting things happen at the boundaries…
Added 11 hours ago
TG
Field Systems Engineer (Level 1+)
Tech Guardian
Field, BC
- Full-time
Position – Field, Systems Engineer (Level 1+) Inland Empire
Added 11 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 11 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
…discipline inputs – Business Development, Analysis, Electrical, Software, Fluid Power, Metallurgy, Manufacturing,…
Added 12 hours ago
TD
Software engineer
Tao Digital ULC
Toronto, ON
- From $57 CAD / hour
- Full-time
- Hybrid
Research technical information to design, develop and test computer-based systems
Added 14 hours ago
V
QA Engineer
Varonis
Vancouver, BC
- Full-time
The Role: We are seeking a highly skilled QA Engineer to join our R&D team supporting Varonis Atlas. In this role, you will design, implement, and execute tests to ensure the reliability,…
Added 17 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
…discipline inputs – Business Development, Analysis, Electrical, Software, Fluid Power, Metallurgy, Manufacturing,…
Added 17 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 18 hours ago
NG
Desktop Support Engineer (Level 2)
NSC Global
Brantford, ON
- Other
NSC Global is currently looking for a Desktop Support Engineer to join our growing company.
Added 22 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
Design, code, debug, test, and review software components of low to medium complexity and criticality.
Added 23 hours ago
FS
Lead software engineer
Forgeahead Solutions Corporation
Surrey, BC
- From $130,000 CAD / year
- Full-time
- Hybrid
Write, modify, integrate and test software code
Added 23 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 1 day ago
MC
Program Chief Engineer – Spacecraft Satellite Systems (35863)
Myticas Consulting
Canada
- Full-time
Program Chief Engineer – Spacecraft / Satellite Systems
Added 1 day ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
We are seeking a Senior QA Engineer III with strong hands-on test automation and banking/financial services experience to support complex enterprise applications and integration…
Added 1 day ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 1 day ago
MC
Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
- Contract
Principal Embedded Software/Firmware Engineer
Added 1 day ago
MC
Coherent Optical Systems Engineer (35886)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a Coherent Optical Systems Engineer to contribute to the design, development, characterization, and optimization of advanced coherent optical transceivers based on…
Added 1 day ago
MC
Senior ASIC Verification Engineer (35885)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
…involves developing robust verification environments, creating test strategies, and collaborating with cross-functional engineering teams to deliver high-quality silicon and hardware…

Manager AI Engineering-CA

Quebec, QC, Canada

Full-time

Apply About employer

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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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