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Added 2 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Proficiency in Python and/or other relevant programming or scripting languages.
Added 2 hours ago
R
2027 Investor Services, PEY Securities Lending Desk (12-16 months)
RBC
Toronto, ON
- Full-time
Strong programming abilities – Python, VBA, SQL,
Added 3 hours ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
Proficiency in automation tools (Ansible, Terraform, Python, Bash)
Added 3 hours ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
…deployment pipelines (GitHub Actions, ArgoCD), and scripting (Python, Bash, PowerShell,…
Added 5 hours ago
AS
Applied Scientist, Tax Engine
Amazon Science
Vancouver, BC
- Full-time
Experience programming in Java, C++, Python or related language
Added 7 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
Experience using scripting languages such as Python, Perl, or Ruby.
Added 7 hours ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Added 8 hours ago
RF
Senior Platform Engineer
Rodeo FX
Montreal, QC
- Full-time
Strong Python skills, with solid software engineering practices (version control, testing, code review, packaging).
Added 9 hours ago
CG
Manager, Risk Modelling
Canada Guaranty
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Extensive experience using and developing quantitative models with SAS and SQL is a must, experience with Python, R, or other similar software considered a plus.
Added 10 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Added 10 hours ago
SK
Senior Data Scientist
Sokoni Kwetu
London, ON
- Full-time
…workstreams into clear delivery milestonesYou have mastery of Python and relevant frameworks, and can architect production-grade infrastructure for sophisticated models and agentic AI…
Added 10 hours ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
Strong programming skills in Python and Structured Query Language (SQL), with experience using APIs, Git, CI/CD, testing, and software engineering practices
Added 12 hours ago
T
Quality Engineer
TEEMA
Vancouver, BC
- Full-time
Programming/scripting experience with Python, JavaScript, and/or Node.js.
Added 12 hours ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
Added 14 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Proficiency in Python and/or other relevant programming or scripting languages.
Added 14 hours ago
GO
Software developer
Global One Data Inc.
Surrey, BC
- From $54.4 CAD / hour
- Full-time
- Hybrid
Added 16 hours ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
…learning solutions. Proficiency in programming languages such as Python, SQL, Rust, JavaScript, C, C++, SAS, or R is essential, along with experience working with relational databases.…
Added 16 hours ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
Proficiency in C/C++ or Python for testing, simulation, and hardware integration.
Added 17 hours ago
DE
AI Engineer
Digital Era Management & Technology Inc
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Contract
Node.js and Python for agent containers, orchestrators, gatekeepers
Added 18 hours ago
G
Product Analyst
GamblingCareers.com
Montreal, QC
- Full-time
Added 20 hours ago
BC
Technical Delivery Lead
BrainRidge Consulting
Toronto, ON
- Full-time
Strong hands-on skills in at least one modern stack (e.g. Java, .NET, Python, TypeScript), plus cloud (AWS/Azure).
Added 20 hours ago
M
Développeur(euse) Web Fullstack
Mirego
Montreal, QC · Quebec, QC
- Full-time
…l’aise en back-end avec des technologies comme Elixir, .NET ou Python. Tu possèdes aussi une certaine expérience avec les services Web REST ou GraphQL, ainsi qu’une bonne compréhension des…
Added 20 hours ago
M
Développeur(euse) IA
Mirego
Montreal, QC · Quebec, QC
- Full-time
Tu as de l'expérience avec des frameworks, API et outils IA modernes (LangChain, LlamaIndex, OpenAI API, etc.) ainsi qu'avec des langages comme Python, Elixir ou TypeScript.
Added 20 hours ago
M
Développeur(euse) logiciel Back-End / DevOps
Mirego
Montreal, QC · Quebec, QC
- Full-time
Tu as une solide expérience en développement back-end avec des technologies comme Elixir, .NET ou Python, et tu es enthousiaste à l'idée d'adapter ta stack selon les besoins des clients.
Added 20 hours ago
P
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time

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

Apply About employer

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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