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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 15 mins ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD…
Added 15 mins ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 15 mins ago
Senior Cloud Engineer
Vertage Global
Ottawa, ON
Contract
We are seeking a highly skilled Cloud Engineering Senior Engineer to join a dynamic Agile team responsible for designing, developing, and supporting a next-generation Telemetry &…
Added 44 mins ago
System Engineer
Vertage
Ottawa, ON · Kanata, ON
Full-time
seeking a Systems Engineer to support its AI-powered End-to-End Software Diagnostics & Observability initiative for next-generation software-defined vehicles. This role will help define,…
Added 45 mins ago
Cloud Engineer
Vertage
Ottawa, ON · Kanata, ON
Contract
Seeking a Cloud Engineer with experience in cloud-native application development, API integration, and platform engineering. The role involves building and supporting Ford's Telemetry &…
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
Front-end Software Engineering Lead & Manager, SVP
Citi
Mississauga, ON
Full-time
12+ years of progressive experience in front-end engineering, with at least 5 years in an architecture leadership or principal engineer role.
Added 46 mins ago
Cloud Data Platform Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
The Cloud Data Platform Engineer will design, build, automate, and support the cloud platform capabilities that enable Canadian Tire’s Data, Analytics, and AI strategy. This role is a…
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
Build that solution using our internal platform: products, templates, and agent tooling that generate most of the software for you.
Added 59 mins ago
Software Developer, NestJS, Spring, Claude Code
EngRadar
Toronto, ON
Contract
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
Lead Engineer - Systems Dynamics
Beacon Holdings
Canada
Full-time
Own the platform. OCI compute and databases (container and pluggable), 60 to 80 site-to-site VPNs, OS and database patching, nightly backups, DR. About a dozen cloud customers today, more…
Added 59 mins ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
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
Manager AI Engineering-CA
CN
Montreal, QC
Full-time
…AI agents, intelligent workflows, reusable components, and platform-integrated services. The incumbent works across software engineering, data engineering, machine learning, and generative…
Added 1 hour ago
Senior Software Engineer, Design Systems
Thumbtack
Remote, Canada
Full-time · Remote
…This role covers web and AI-assisted workflows; the partner engineer covers cross-platform components and design tokens. We partner with Developer Experience on AI tooling and Frontend…
Added 1 hour ago
Senior Native Engineer, Partnerships
Thumbtack
Remote, Canada
Full-time · Remote
…space to build out their profiles and their businesses on our platform. We will do this by expanding where and how Thumbtack can create value by putting our experience on complementary…
Added 1 hour ago
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
Contract
Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI…
Added 1 hour ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 1 hour ago
Senior Data Streaming Engineer (Java, Kafka & GCP)
Hays
Toronto, ON
$85 to $97 CAD / hour
Contract
We’re seeking an experienced Senior Data Streaming Engineer with strong Core Java skills, proven expertise in data streaming (e.g., Apache Kafka, Apache Flink), and hands-on delivery on…
Added 1 hour ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…

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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