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Added 1 hour ago
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Recommissioning Engineer – Energy & Decarbonization
BPA
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking an experienced Recommissioning Engineer to support building performance optimization, decarbonization initiatives, and energy‑efficiency projects across commercial,…
Added 1 hour ago
TC
Quality Engineer
Tata Consultancy Services
Canada
- Full-time
…test practices, and helps ensure high-quality releases through automation, collaboration, and risk-based…
Added 1 hour ago
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Senior Electrical, Instrumentation & Controls Engineer
Veolia | North America
Oakville, ON
- Full-time
Engage in the development of automation deliverables including test plans, programs and
Added 2 hours ago
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Senior Electrical, Instrumentation & Controls Engineer
Veolia | Water Tech
Oakville, ON
- Full-time
Engage in the development of automation deliverables including test plans, programs and
Added 6 hours ago
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BMS Engineer Candidate
EXONIX - Global Industrial Company
Engineer, BC
- Full-time
We are seeking a skilled BMS Engineer to join our team and play a key role in designing, implementing, and maintaining cutting-edge building management systems for our clients.
Added 6 hours ago
GI
Millwork Engineer / CNC Programmer
Giffin Interior
Engineer, BC
- Full-time
A Millwork Engineer at Giffin Interior transforms approved shop drawings into accurate engineering models, CNC programs & Saw patterns, and complete production documents. This role combines…
Added 7 hours ago
TD
Software engineer
Tao Digital ULC
Toronto, ON
- From $57 CAD / hour
- Full-time
- Hybrid
Added 9 hours ago
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Senior Software Engineer (Rust)
Varonis
Vancouver, BC
- Full-time
Senior Software Engineer – Secure AI Platform (Vancouver, On-Site)
Added 9 hours ago
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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 11 hours ago
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Senior DevOps Engineer
Arilot (now - Dysnix)
ON · Regional Municipality of York, ON
- Internship
Automation of (complex) blockchain node deployment to run in GCP;
Added 11 hours ago
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Building Operator (Toronto)
Kipling Group
Toronto, ON
- Full-time
Reviews and completes daily entries into the engineer’s log; investigates any issues
Added 11 hours ago
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Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 13 hours ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
…ability to build, train or tune machine-learning models as an ML engineer or data scientist…
Added 13 hours ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
Collaborate on cell-based automation improvements and continuous service enhancements
Added 14 hours ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
We are seeking a Cloud Engineer II within the Site Reliability Engineering team to support the reliability, automation, and operational efficiency of the Kinaxis SaaS platform. In this…
Added 17 hours ago
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Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 18 hours ago
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Post‑Quantum Research & PKI Cryptography Engineer
Securetron
Canada
- Full-time
Securetron is seeking a Post‑Quantum Research & PKI Cryptography Engineer to lead research, prototyping, and implementation of quantum‑resistant cryptographic workflows within our PKI…
Added 20 hours ago
MC
Platform Engineer - Azure (35991)
Myticas Consulting
Canada
- Contract
Develop and maintain deployment pipelines, configuration, and automation.
Added 20 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 20 hours 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 20 hours ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 20 hours ago
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Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…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…
Added 20 hours ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
We are looking for an experienced Network Service Engineer with strong expertise in customer network service configuration to support the design, implementation, and optimization of network…
Added 20 hours ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
This role requires strong troubleshooting skills, an automation-focused mindset, and the ability to collaborate effectively with development and infrastructure teams in a fast-paced…
Added 20 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Use Python/Pandas for data preparation, automation and analysis.

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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