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Added 11 days ago
3T
SRE
360 Technology
Toronto, ON
- Full-time
Support regulatory and internal compliance requirements related to technology risk, cybersecurity, and operational resilience.
Added 12 days ago
AI Security Engineer
Capco
Toronto, ON
As an AI Security Engineer, you will work at the intersection of software engineering, cybersecurity, and artificial intelligence. You will design and build security tools, assess…
Added 12 days ago
RO
IT Operations Manager
Reach Out Centre for Kids
Burlington, ON · Halton Region, Ontario
- Full-time
Experience with data management and technologies such as relational databases, SQL, Python, DAX, ETLs, APIs, JSON, and RPA concepts.
Added 12 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Server-side languages: C#/.NET, Java, Python, PHP
Added 12 days ago
MC
Senior Security Engineer
MatchBox Consulting Group
Vancouver, BC
- Full-time
Degree in information technology, computer science, cybersecurity, or a related field.
Added 12 days ago
S
Sr. Programmer Analyst - Research Computing - Regular Full-Time 2026-18484 (2026-18484)
Sunnybrook
Toronto, ON
- Full-time
Function as an application specialist for REDCap, custom .NET applications, PHP, Python, and Java.
Added 12 days ago
HR
Technical Specialist, Quality Assurance
Hitachi Rail
Toronto, ON
- Full-time
certification constraints (Transportation, Aerospace, Medical Devices, Nuclear, Cybersecurity)
Added 12 days ago
HR
Technical Specialist, Quality Assurance
Hitachi Rail
Burnaby, BC
- Full-time
certification constraints (Transportation, Aerospace, Medical Devices, Nuclear, Cybersecurity)
Added 12 days ago
HR
Technical Specialist, Quality Assurance
Hitachi Rail
Toronto, ON
- Full-time
certification constraints (Transportation, Aerospace, Medical Devices, Nuclear, Cybersecurity)
Added 13 days ago
RB
Fraud Analyst
Rogers Bank
Toronto, ON
- Full-time
…backgrounds in risk, telecommunications, banking, e-commerce, cybersecurity, or business intelligence are encouraged to…
Added 13 days ago
Fraud Analyst
Rogers Communications
Toronto, ON
…backgrounds in risk, telecommunications, banking, e-commerce, cybersecurity, or business intelligence are encouraged to…
Added 13 days ago
G
Cybersecurity Consultant II - CAN
GLI
Fredericton, NB · Moncton, NB · Halifax, NS
- Full-time
GLI Secure is seeking an experienced Cybersecurity Consultant II (penetration tester) at one of our Eastern Canada locations.
Added 13 days ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
As part of the newly formed cybersecurity team you will bridge the gap between our high-level cybersecurity strategy and daily technical operations. You will work at the intersection of our…
Added 14 days ago
IF
Senior Security Advisor (DevSecOps) - Detection Engineering
Intact FC
Montreal, QC · Laval, QC · Saint-Hyacinthe, QC
- Full-time
4–6 years of experience in cybersecurity, DevOps, or infrastructure. Experience in security monitoring, including SIEM, SOAR, XDR, TIP, or UEBA platforms.
Added 14 days ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…operations, data scientists, data engineers, business partners, cybersecurity, governance, architecture, and vendor teams to move AI use cases from concept to…
Added 14 days ago
FV
Full-stack Developer
Fred Victor
Toronto, ON
- Full-time
We are seeking a skilled, proactive, and versatile Full Stack Application Developer to take ownership of our technical application portfolio.
Added 15 days ago
P
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 15 days ago
M
Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Practical familiarity with Python, SQL, R, machine learning workflows, or analytics environments.
Added 15 days ago
P
Full Stack Developer
PwC
Toronto, ON · Ottawa, ON · Calgary, AB
- Full-time
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure…
Added 15 days ago
DS
Cybersecurity specialist
D3 Security Management Systems Inc
Vancouver, BC
- From $53.84 CAD / hour
- Full-time
- Contract
- On-site
Added 15 days ago
AI
Engineering - Embedded Software Developer
Aversan Inc.
Montreal, QC
- Full-time
We are currently seeking a qualified Embedded Software Developer to join our team. In this role, you will collaborate with a multidisciplinary team to develop and maintain embedded flight…
Added 15 days ago
SE
Cybersecurity Data Analytics & AI Analyst - 12-Month Internship
Siemens Energy
Oakville, ON
- Full-time
Siemens Energy's Cybersecurity Governance, Risk and Compliance team requires additional capacity to support the evolution of enterprise governance and assurance analytics platforms. This…
Added 15 days ago
OT
Network Engineer III
Opti9 Technologies
Remote, Canada
- $115,000 to $145,000 CAD / year
- Full-time
- Remote
Mature our automation strategy using Python, Nautobot, Ansible, and other automation tie-ins
Added 15 days ago
GL
Cybersecurity Consultant II - CAN
Gaming Laboratories International, LLC
Moncton, NB
- Full-time
GLI Secure is seeking an experienced Cybersecurity Consultant II (penetration tester) at one of our Eastern Canada locations.
Added 15 days ago
AI
Embedded Software Developer
Aversan Inc.
Montreal, QC
- Full-time
We are currently seeking a qualified Embedded Software Developer to join our team. In this role, you will collaborate with a multidisciplinary team to develop and maintain embedded flight…

Manager AI Engineering-CA

Quebec, QC, Canada

Full-time

Apply About employer

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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

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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