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Added 56 mins ago
AI Engineer
Insight
Remote, Canada
Full-time · Remote
…Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital…
Added 56 mins ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
…Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital…
Added 2 hours ago
IT Site Manager - Infrastructure & Operations
STERIS
Quebec, QC
Full-time
Microsoft certifications such as Microsoft Certified Systems Engineer (MCSE) or equivalent technical certifications.
Added 2 hours ago
Cloud Security Architect
Affinity
Vancouver, BC
Contract
Minimum 10 years of progressive experience in information security, cybersecurity architecture or enterprise security architecture.
Added 2 hours ago
Field Service Engr II
Honeywell
Burnaby, BC
Full-time
As the Building Automation Engineer for the Region, you will be responsible for the design, engineering, configuration, implementation, commissioning and ongoing support/maintenance and…
Added 2 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…route to the best job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering…
Added 2 hours ago
Senior Electronics Hardware Designer
Schneider Electric
Richmond, BC
$114,750 to $162,000 CAD / year
Full-time
We are looking for a positive, confident, self-motivated, and hands-on engineer who thrives in a fast-paced, collaborative environment and is passionate about renewable energy technologies.…
Added 3 hours ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
…Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital…
Added 5 hours ago
Manager AI Engineering-CA
CN
Montreal, QC
Full-time
…operations, data scientists, data engineers, business partners, cybersecurity, governance, architecture, and vendor teams to move AI use cases from concept to…
Added 5 hours ago
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 5 hours ago
Lead Controls Engineer
Modern Technical Staffing Inc.
Toronto, ON
$130,000 to $160,000 CAD / year
Full-time
The Lead Controls Engineer designs and develops the full control system for a next‑generation critical infrastructure product. This role covers closed‑loop control, safety interlocks,…
Added 5 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…route to the best job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering…
Added 5 hours ago
Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Wolf Steel Ltd
Barrie, ON
Full-time
Title: Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Added 5 hours ago
Senior Cybersecurity Engineer
Apptoza Inc.
Calgary, AB
Contract
Role name : Senior Cybersecurity Engineer – Microsoft Defender / CrowdStrike / Sentinel
Added 6 hours ago
Senior Cybersecurity Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a Senior Cybersecurity Engineer to design, implement, operate, and continuously improve cybersecurity capabilities across endpoint, identity, network, cloud, and security…
Added 6 hours ago
Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Napoleon
Barrie, ON
$82,400 to $113,300 CAD / year
Full-time
Title: Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Added 6 hours ago
Cloud Operations & Security Engineer
Limelight Software
Toronto, ON
Full-time
Limelight Software is hiring an AWS Cloud Operations and Security Engineer to run and secure the infrastructure behind our SaaS platform. You’ll work hands-on with AWS and Linux production…
Added 6 hours ago
Cybersecurity Specialist
J&M Group
Toronto, ON
Full-time
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 7 hours ago
Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Napoleon
Barrie, ON
Full-time
Title: Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Added 7 hours ago
Systems Administrator
Eckler Ltd. / Eckler ltée
Toronto, ON · Greater Toronto Area, Canada
$82,000 to $95,000 CAD / year
Full-time
Reporting to the Senior Infrastructure Engineer, the Systems Administrator supports the security, reliability, performance, and continuous improvement of Eckler’s hybrid technology…
Added 9 hours ago
Aviation Cyber security Engineer
Trivosys Technologies LLC
Dorval, QC
Full-time
Hiring: Aviation Cybersecurity Engineering Professional | Job ID: 14957
Added 9 hours ago
Director, Data Engineering, International Banking, Toronto, Mexico, Colombia, Peru
Scotiabank
Toronto, ON
…with Data Engineering, Architecture, Platform Engineering, Cybersecurity, Risk, Compliance, and business stakeholders to ensure Databricks-based data products are delivered safely,…
Added 10 hours ago
METS Principal Information Security Engineer - ITS5
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
Full-time
The Principal Information Security Engineer (PISE) is a senior cybersecurity leader responsible for planning, designing, implementing, and maintaining enterprise-wide information security…
Added 10 hours ago
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging • Master’s degree in Cybersecurity, Computer Science, AI, Computer Engineering, or related…
Added 12 hours ago
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…

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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