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Added 1 hour ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
We are seeking a Senior QA Engineer III with strong hands-on test automation and banking/financial services experience to support complex enterprise applications and integration…
Added 1 hour ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…
Added 1 hour ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 1 hour 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…
Added 1 hour ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
The Network Service Engineer will work closely with Commercial, Product, Sales Engineering, Customers, Network Engineering, and external contractor teams to provide technical guidance on…
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 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 6 hours ago
MS
Senior Software Quality Engineer
Myant Shared Service Corp.
Mississauga, ON
- Full-time
You will own the quality strategy for the platform end to end, from defining test scope and depth to establishing the criteria every release must meet. You will remain hands-on with testing…
Added 10 hours ago
WT
Building automation systems (bas) technician
Watershed Technologies Inc.
North York, ON
- From $37 CAD / hour
- Full-time
Complete work orders, test and maintenance reports
Added 12 hours ago
N
Lead QA Test Engineer
Nasdaq
Toronto, ON
- Full-time
As a Lead QA Test Engineer, you'll play a critical role in ensuring the quality, reliability, and performance of Nasdaq's North American equities market systems - some of the most complex…
Added 14 hours ago
A
Mechanical Test Engineer
Actalent
Vancouver, BC
- $48 to $57 CAD / hour
- Contract
The Mechanical Test Engineer is responsible for supporting new product development programs by delivering product design verification. This role requires close interaction with…
Added 14 hours ago
A
Hardware Engineer
Actalent
Maple Ridge, BC
- $38 to $48 CAD / hour
- Contract
We are seeking a Hardware Engineer to support an established portfolio of electronic products used in demanding industrial applications. The position is primarily focused on sustaining…
Added 14 hours ago
A
Senior Flight Software Engineer
Actalent
Brampton, ON
- $48 to $72 CAD / hour
- Contract
Design, implement, maintain, and test safety-critical, real-time flight software solutions that are modular, extendable, testable, and efficient. Lead complex subsystem designs and…
Added 16 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
…This role primarily focuses on manual testing with exposure to automation, supporting end-to-end verification of system functionality and data integrity. Operating in an offshore…
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Experience: 8+ years of hands-on experience in software quality assurance, with a significant focus on test automation and SDET roles.
Added 19 hours ago
V
Senior Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking an Experienced QA Analyst with 5 to 8 years of expertise in testing strategies and automation frameworks. The ideal candidate will mentor team members and ensure…
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled QA Automation Engineer with 7-10 years of experience to join our dynamic team in Toronto. The ideal candidate will play a crucial role in…
Added 19 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled QA Automation Engineer with 7-10 years of experience to join our dynamic team in Toronto. The ideal candidate will play a crucial role in…
Added 20 hours ago
AI
Applications Engineering Manager, Nuclear
ATS Industrial Automation
Cambridge, ON
- Full-time
At ATS, a publicly traded global company with a proud 40-year history, we help drive the future with our factory-wide automation solutions. At ATS Industrial Automation, what we do matters…
Added 20 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Experience: 8+ years of hands-on experience in software quality assurance, with a significant focus on test automation and SDET roles.
Added 20 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled QA Automation Engineer with 7-10 years of experience to join our dynamic team in Toronto. The ideal candidate will play a crucial role in…
Added 20 hours ago
O
AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
Our approach is simple: Automate Improvement. We identify areas where data, AI and automation can remove friction, accelerate decision-making and improve how the business operates at scale.
Added 20 hours ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 21 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the IC3 AEGIS team, you will design and build an AI-driven platform supporting centralized security automation and risk remediation. You will develop…
Added 21 hours ago
Q
IC/FPGA Design Verification Engineer, Sr Staff
Qualcomm
Ottawa, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…

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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