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Added 17 days ago
GM
DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
- Full-time
As a Software Quality Automation Developer, you will be responsible for design and development of internal platforms, tools and automation frameworks that support engineering teams across…
Added 17 days ago
GM
Senior DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
- Full-time
As a Senior Software Quality Automation Developer, you will Lead the design and development of internal platforms, tools and automation frameworks that support engineering teams across the…
Added 17 days ago
Senior Machine Learning Programmer
Epic Games
Montreal, QC
You will work with our team of applied research programmers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create…
Added 17 days ago
H
Data Scientist
Hays
Toronto, ON
- Contract
Familiarity with workflow orchestration and automation tools.
Added 17 days ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
This role combines Jira Service Management (JSM) administration and workflow automation with Java and Python development, API integrations, and AI-driven automation to improve request…
Added 17 days ago
T
GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
Experience with automation frameworks and test scripting.
Added 17 days ago
ZL
[SCFD2MWC] AI Architect
ZettaMine Labs Pvt. Ltd.
Canada
- Full-time
Experience with AI, Generative AI, Agentic AI, RAG, workflow automation, document intelligence, RPA, or process mining.
Added 17 days ago
A
Software Development Manager, Platform Engineering
Autodesk
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Partner with cross-functional teams to identify opportunities for automation, scalability, and improved developer experiences
Added 17 days ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
Integrate FPGA processing pipelines with SLAM frameworks such as ORB-SLAM3.
Added 17 days ago
A
Software Development Manager, Platform Engineering
Autodesk
Montreal, QC
- Full-time
Partner with cross-functional teams to identify opportunities for automation, scalability, and improved developer experiences
Added 17 days ago
C
QA SDET – Spécialiste Automatisation & AI
CGI
Sherbrooke, QC
- Full-time
At CGI Sherbrooke, quality drives innovation. AI-powered automation enables us to build smarter, faster, and more reliable testing frameworks.
Added 17 days ago
SC
Content Producer
Sony Computer Entertainment France SA
Montreal, QC
- Full-time
…experiences under the PlayStation brand, a name synonymous with entertainment excellence and…
Added 17 days ago
SC
Content Producer
Sony Computer Entertainment France SA
Montreal, QC
- Full-time
In May 2021, we embarked on a journey to start Haven Studios with a small team and big ambitions. Our goal was to build a studio where we could make the kind of games we’ve always wanted to…
Added 17 days ago
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Cybersecurity Consultant II - CAN
GLI
Fredericton, NB · Moncton, NB · Halifax, NS
- Full-time
Scripting and automation skills (such as Python, PowerShell, or Bash) used to build custom tooling and validate findings.
Added 17 days ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
Experience with creating CI/CD pipelines for automation
Added 17 days ago
X
Senior Photonics Engineer - Homodyne Detection
Xanadu
Toronto, ON
- Full-time
Advanced Automation: Experience writing Python scripts for instrument control, hardware interfacing, and automated data acquisition.
Added 17 days ago
X
Senior Photonic Engineer - Experimentalist
Xanadu
Toronto, ON
- Full-time
Advanced Automation: Experience writing Python scripts for instrument control, hardware interfacing, and automated data acquisition.
Added 17 days ago
X
Photonics Engineer System Integration
Xanadu
Toronto, ON
- Full-time
● Programming Aptitude: Basic proficiency in Python programming, with a strong willingness and aptitude to quickly learn lab automation and instrument control.
Added 17 days ago
X
Staff Control Systems Architect - Photonic Quantum Computing
Xanadu
Toronto, ON
- Full-time
● Instrument-control and lab-automation software (Python; frameworks such as ARTIQ,
Added 18 days ago
SC
Senior Analytics Engineer
Securian Canada
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Working closely with Analytics & Insights, Business Intelligence, Data Pipeline Engineering, Data Governance, and business partners across the organization, you'll contribute to a scalable…
Added 18 days ago
SC
Senior Analytics Engineer
Securian Canada
Waterloo, ON
- $100,000 to $130,000 CAD / year
- Full-time
Working closely with Analytics & Insights, Business Intelligence, Data Pipeline Engineering, Data Governance, and business partners across the organization, you'll contribute to a scalable…
Added 18 days ago
K
Senior Consultant - Agentic developer
KPMG
Montreal, QC
- Full-time
2 to 3 years of hands-on experience with generative AI solutions, AI agents, copilots, conversational AI, intelligent automation, or related platforms.
Added 18 days ago
RB
Senior MuleSoft Integration Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Automation & Support – Develop Python scripts for automation and integration support tasks; manage data transformations and integrations across systems
Added 19 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Hands-on experience with API and backend automation, including Rest Assured, Postman, or equivalent tools/frameworks.
Added 19 days ago
C
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…

Manager AI Engineering-CA

Quebec, QC, Canada

Full-time

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Job details

Job type: Full-time
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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