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Added 17 mins ago
RF
Senior Platform Engineer
Rodeo FX
Montreal, QC
- Full-time
Rodeo FX is seeking a Senior Platform Engineer to help build and operate the technical platform that our VFX pipeline runs on. As the VFX team scales, we need a dependable, well-managed…
Added 1 hour ago
ES
Program Manager - Supply Chain
EPAM Systems
Toronto, ON
- Full-time
Leverage change management practices to ensure a seamless rollout of new tools and processes across retail channels, including stores, e-commerce, and distribution centers
Added 1 hour ago
ES
Data Technology Consultant - Data & AI Modernization
EPAM Systems
Canada
- Full-time
Legacy Migration Experience: Strong understanding of legacy data warehousing and traditional ETL tools (e.g., Oracle, DB2, Informatica, SSIS) and enterprise migration challenges
Added 1 hour ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Knowledge of AI monitoring and observability tools.
Added 1 hour ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…equivalent experienceGoogle Cloud, Vertex AI, Machine Learning Engineer, Data Engineer, or related cloud or AI certification*Candidates with equivalent practical experience, education, or…
Added 4 hours ago
T
Quality Engineer
TEEMA
Vancouver, BC
- Full-time
We are looking for a QA Engineer with strong test automation experience who is excited about using AI technologies to improve software quality and testing processes.
Added 4 hours ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
Added 5 hours ago
L
Principal Engineer - Retail Systems
lululemon
Vancouver, BC
- Full-time
As a Principal Engineer, you will define the technical vision and implementation approach for major technology initiatives across lululemon’s global retail systems landscape. You will serve…
Added 5 hours ago
MS
Senior Software Quality Engineer
Myant Shared Service Corp.
Mississauga, ON
- Full-time
Build reusable AI-assisted workflows that integrate with development and testing tools to improve efficiency and coverage.
Added 6 hours ago
T
Product Engineering Coordinator
Tayco
Remote, Canada
- Full-time
- Remote
Tayco is looking for one product engineering coordinator to join our Team! The Product Engineer Coordinator is responsible for the development and engineering of new product solutions, as…
Added 6 hours ago
ES
Senior Full-Stack Java Developer
EPAM Systems
Canada
- Full-time
…maintainability while collaborating closely with the Principal Engineer. You'll have direct impact on the platform's health, engineering culture, and the technical growth of the…
Added 6 hours ago
T
Product Engineering Coordinator
Tayco
Toronto, ON · Etobicoke, ON
- $70,000 to $80,000 CAD / year
- Full-time
Tayco is looking for one product engineering coordinator to join our Team! The Product Engineer Coordinator is responsible for the development and engineering of new product solutions, as…
Added 7 hours ago
S
Electrical Engineer
SYSTRA
Montreal, QC
- Full-time
…within the Co-Development Phase of the ALTO programme, the Engineer will provide design services, coordination and delivery of their work discipline work package for their respective…
Added 7 hours ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
Added 8 hours ago
ES
Senior Business Analyst
EPAM Systems
Toronto, ON
- Full-time
Experience in agile tools e.g Jira and Confluence
Added 8 hours ago
Manufacturing Engineer (Injection Molding SME)
KSR
Chatham-Kent, ON · Ridgetown, ON
KSR International is seeking a Manufacturing Engineer (Injection Molding SME) professional to join our Advanced Manufacturing team. This is a full-time, onsite position based at KSR's…
Added 9 hours ago
S
Technical Specifications Coordinator
SYSTRA
Montreal, QC
- Full-time
Professional Engineer (P.Eng.), Registered Architect, CSC certification, or eligibility considered an asset
Added 11 hours ago
BC
Technical Delivery Lead
BrainRidge Consulting
Toronto, ON
- Full-time
Introduce better tools and practices, including AI-assisted development, that improve speed and quality.
Added 11 hours ago
P
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…client’s environment, writing code, integrating disparate security tools, and build production-ready defense…
Added 11 hours ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire…
Added 12 hours ago
C
Engineering Manager, Product
Clarity
Remote, Canada
- $165,000 to $275,000 CAD / year
- Full-time
- Remote
Championing AI-native engineering practices–staying personally fluent with AI coding tools and driving their adoption across the team.
Added 12 hours ago
C
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial…
Added 14 hours ago
S&
Transmission Line Engineer 3 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Knowledge of design techniques, tools, and principles involved in the production of technical plans, drawings, and models.
Added 14 hours ago
S&
Senior Transmission Line Engineer - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Knowledge of design techniques, tools, and principles involved in the production of technical plans, drawings, and models.
Added 14 hours ago
A
Devops Engineer
Actalent
Saskatoon, SK
- $55 to $65 CAD / hour
- Contract
…three scrum teams located in Ottawa and Calgary. As a DevOps Engineer, you will provide senior AWS expertise, facilitating the transition from on-premises infrastructure to AWS. This role…

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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