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Added 22 mins ago
IE
Analyst, Business
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
…Services, Global Services/Inventory, Film Distribution, Data & Analytics, HR, and Information Technology to develop practical, scalable solutions that support enterprise…
Added 38 mins ago
S
Software Engineer, Agent (Spanish speaking)
Sierra
Toronto, ON
- $180,000 to $390,000 USD / year
- Full-time
Added 52 mins ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
…integration solution development, project execution, reporting and analytics, and information management practices. The role serves as a key liaison between Information Technology and…
Added 52 mins ago
S
Research Coordinator (SRI) - Evaluative Clinical Sciences - Regular Full-Time 2026-18762 (2026-18762)
Sunnybrook
Toronto, ON
- Full-time
Added 52 mins ago
OG
Northern Development Analyst
Ontario Government | Gouvernement de l’Ontario
ON · Ontario, Canada
- Full-time
Added 52 mins ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
5+ year demonstrable experience with data and analytics tools, including:
Added 52 mins ago
CO
IS Business Analyst
City of Vernon, BC
BC · British Columbia, Canada
- Full-time
Strong communication and presentation skills and ability to communicate technical and business analytics in user friendly terminology
Added 2 hours ago
Senior Advisor, Global Compensation
Velan Inc.
Montreal, QC
University degree in Human Resources, Finance, Business Administration, Analytics, or a related field
Added 2 hours ago
A
Analyste Principal d'Affaires
Astek
Montreal, QC
- Full-time
Added 2 hours ago
TW
Doctoral candidate (gn) - WG Systems Ecology
TripleT Working Group @ Leibniz Centre for Tropical Marine Research (ZMT)
Montreal, QC · Urban agglomeration of Montreal, QC
- €4,759.37 to €6,764.69 EUR / month
- Part-time
Added 2 hours ago
PC
Risk Modelling Services, Actuarial P&C Director (Bilingual FR/EN)
PwC Canada
Toronto, ON
- Full-time
Leverage technology, analytics and AI to deliver forward-looking solutions to clients
Added 3 hours ago
AI
Java Fullstack Developer – AWS & Capital Markets
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Experience in Capital Markets, Portfolio Management, or Risk Analytics
Added 3 hours ago
CO
Business Advisor
City of Saint John
Saint John, NB
- Full-time
A bachelor’s degree in business administration, public administration, communications, data analytics or another related discipline, or an equivalent combination of education and experience.
Added 3 hours ago
MC
Business Analyst Finance Operations SME – Wealth Management (35773)
Myticas Consulting
Ottawa, ON
- Contract
Added 3 hours ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Reporting to the Vice President, Corporate Services & Chief Financial Officer, the Manager, Finance, Performance and Analytics supports the hospital's strategic objectives, performance…
Added 3 hours ago
R
Account-Based Marketing Manager - TrainAI
RWS
Canada
- Full-time
Added 3 hours ago
CC
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
Experience working in Agile environments and work in partnership with business, analytics, data engineering, security, and technology teams.
Added 4 hours ago
A
Customer Support Developer (Databases)
Airbyte
Remote, Canada
- $101,000 to $110,000 CAD / year
- Full-time
- Remote
Are you the kind of developer who gets a rush from cracking a gnarly replication bug, an issue with CDC implementation, or a query that hangs with no obvious reason? Do you thrive at the…
Added 4 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 4 hours ago
R|
Clinical Research Coordinator
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 4 hours ago
R|
Clinical Research Coordinator
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 4 hours ago
R|
Clinical Research Coordinator – Endometriosis Research Program
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Contract
Added 4 hours ago
R|
Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 4 hours ago
R|
Accounts Receivable Analyst
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 4 hours ago
R|
Clinical Trial Financial Control Analyst, Oncology Portfolio
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time

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

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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