Jobs in Canada

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Added 1 min ago
Associate Director - Lead Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
We are looking for a highly motivated, top-notch software engineer who is a great team player constantly thinking about quality, maintainability, robustness, and simplicity in all generated…
Added 1 min ago
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 1 min ago
Product Engineer, DT Commercial
''
Toronto, ON
Full-time
The Product Engineer, R&D and Innovation leads the technical delivery of digital products and data-enabled solutions supporting scientific and product-development work.
Added 13 mins ago
Java Engineer
Jobright.ai
Canada
Full-time
…process and helps users reach better job outcomes. The Java Engineer develops and maintains backend services, APIs, database integrations, tests, and technical documentation while…
Added 31 mins ago
Coastal Docking Manager (West)
Thales
Mill Bay, BC
Full-time
Requires direct or indirect access to hardware, software, technology or technical data controlled under the Canadian Export Control List, the ITAR or the EAR.
Added 46 mins ago
Quality Engineer II
TD
Toronto, ON
Full-time
…will win by delivering capabilities, maximizing the use of data, automating execution, innovating with purpose, and enabling personalization for customers and prospects in the right channel…
Added 46 mins ago
Incident & Emergency Management Specialist
TC Energy
Calgary, AB
Full-time
· Provide quality review and technical assurance of investigation reports, emergency response documentation, incident records, corrective actions, and related program deliverables.
Added 46 mins ago
Senior Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
Full-time
Sun Life's Enterprise Quality Engineering Platform (EQEP) is looking for a Senior Software Engineer to join the QEnovation Squad, the team responsible for the evolution of our agentic QE…
Added 46 mins ago
QA Engineer
veritree
Remote, Canada
Remote
veritree is seeking a Quality Assurance Engineer to ensure the reliability, performance, and quality of our platform across web and mobile applications. This individual will be responsible…
Added 46 mins ago
Cloud Data Platform Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
…engineering work, perform code reviews, ensure deliverables meet quality standards, and help raise the overall engineering bar for the team. They will work closely with cloud engineers,…
Added 59 mins ago
QA Engineer
veritree
Vancouver, BC
$80,000 to $110,000 CAD / year
Full-time
veritree is seeking a Quality Assurance Engineer to ensure the reliability, performance, and quality of our platform across web and mobile applications. This individual will be responsible…
Added 59 mins ago
Forward Deployed Engineer
Antasphere
Brussels, ON
Contract
Technical enough to reason about systems: data models, APIs, integrations, and how the pieces fit. We run TypeScript, SvelteKit, Postgres, Cloudflare and GCP.
Added 59 mins ago
Software Developer, NestJS, Spring, Claude Code
EngRadar
Toronto, ON
Contract
…financial services clients across advisory, engineering, cloud, data, AI, and delivery. Our consultants work as trusted outsiders inside client organizations, making progress visible from…
Added 59 mins ago
ontact Center Platform Engineer (Five9 + AI + CTI Integrations)
Querentia
Canada
Contract
Contact Center Platform Engineer (Five9 + AI + CTI Integrations)
Added 59 mins ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 59 mins ago
AI Engineer, Mid Level
Jobright.ai
Canada
Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 59 mins ago
Manager AI Engineering-CA
CN
Montreal, QC
Full-time
Collaborate with data engineers, platform teams, and business partners to ensure AI solutions are aligned with enterprise architecture, data quality, and operational requirements
Added 1 hour ago
Acoustics Consultant/Engineer
SLR Consulting
Calgary, AB
Full-time
As our new Acoustics Consultant/Engineer, you will play an important role on a team whose work is essential to achieving this goal.
Added 1 hour ago
Senior Native Engineer, Partnerships
Thumbtack
Remote, Canada
Full-time · Remote
As a Native Engineer on the Partnerships team, you'll bring our partnership vision to life by enhancing the native applications our customers and pros use every day. You'll work closely…
Added 1 hour ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 1 hour ago
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 1 hour ago
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
Full-time
You are a hands-on senior QA automation engineer who can go beyond executing existing test scripts. You can design frameworks, understand complex backend integrations, trace data across…
Added 1 hour ago
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
Full-time
Microsoft certifications such as Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
Added 1 hour ago
Principal Embedded Software Firmware Engineer (35837)
Myticas Consulting
Ottawa, ON
Contract
Principal Embedded Software/Firmware Engineer
Added 1 hour ago
Systems Engineer (35708)
Myticas Consulting
Ottawa, ON
Full-time
…architecture for a complex communications network. As a Systems Engineer within the group, this role will focus on project…

Manager AI Engineering-CA

Montreal, QC, Canada

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

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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, and workflows that address business needs. Integrate solutions with enterprise data and platforms, and support production deployment, monitoring, evaluation, 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, and enterprise security and governance practices.

Skills

AI Engineering
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agents
Python
SQL
Google Cloud Platform
Vertex AI
Databricks
Data Engineering
API Development
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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