Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

197,164 listings · 21,259 employers Counted Oct 8, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (5,006 listings), Loblaw Companies Limited (1,877 listings), Starbucks Coffee Company (1,785 listings).

Common roles: Project manager, Sales representative, Store manager.

22,643 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	81,520.00	12,575
CAD / hour	23.71	7,417
USD / year	96,620.00	1,052
USD / hour	20.00	411
CAD / month	4,881.00	225
CAD / week	1,445.00	31
GBP / hour	35.00	15
USD / month	5,000.00	15
GBP / year	40,000.00	14
CAD / day	380.00	13

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 2% remote, 18% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Plusgrade

Solution Architect, Applied AI

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Employment Type

Permanent

Job Description

Solution Architect, Applied AI- Montreal Only

Plusgrade is scaling its AI ecosystem beyond prototypes into production-grade agentic systems, and we need a Solution Architect to bridge machine learning, data engineering, and enterprise architecture to power real-time travel experiences.

What You'll Be Doing

As the architectural cornerstone of our Applied AI Engineering team, you will design low-latency, full-stack machine learning architectures that seamlessly connect complex backend ML logic with frontend delivery layers. You will partner closely with Data Science, Data Engineering, and Enterprise Architecture to synchronize data pipelines, feature delivery, and production model lifecycles across our global platforms. Our software delivery and system design are structured directly around AI capabilities, giving teams the architectural foundations needed to deploy agentic systems with speed and reliability. By keeping a pulse on emerging paradigms and translating relevant models into technical direction, you will ensure our AI products are scalable, highly available, and built to last.

The Stack

Python

Java
SQL
PySpark
AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3)
Kubernetes
Docker
Snowflake
SnowPark
RedShift
GrowthBook
GitLab
CI/CD
Argo CD

What You Bring

You bring a deep background in systems architecture and software engineering, with extensive experience designing distributed, low-latency machine learning platforms that connect backend logic to frontend delivery layers.
You have taken AI systems past the proof-of-concept phase into robust production environments, including hands-on experience with agentic workflows, LLM orchestration, and vector databases.
You naturally bridge technical domains, bringing Data Science, Data Engineering, and Enterprise Architecture together to establish clear technical standards and deliver on roadmap commitments.
You master cloud-native infrastructure and MLOps practices, leveraging AWS, Kubernetes, Docker, and tools like SageMaker to ensure high availability and smooth lifecycle management.
You have structurally changed how teams build software around AI, creating shared architectural patterns and standards that allow engineering groups to move materially faster while keeping systems reliable and secure.

Why Plusgrade

Travel is about the moments that make a journey feel personal. At Plusgrade, we build the technology that makes those moments possible, from upgrade offers and loyalty experiences to revenue tools used by 575+ airline, hospitality, cruise, rail, and financial services partners worldwide.

The work is global, complex, and rewarding. You will solve meaningful problems, take ownership from idea to outcome, and work alongside people who are smart, curious, and committed to doing great work.

We also give our teams access to AI tools and the encouragement to use them thoughtfully, to move faster, explore ideas, and build better ways of working.

We trust our teams to do their best work. That means autonomy, flexibility, and room to grow.

Come help us shape the future of travel.

What You'll Love About Us

🏦 RRSP Matching

🏥 Comprehensive Health Plans
📅 Flexible Paid Time Off
✈️ Travel Experience Perk
🧘 Annual Wellness Perk
🚆 Commuter Perk
🌅 Tenure-Based Work From Anywhere Program
🍼 Parental Leave Top Up
🌍 Adventure Pass
🎓 Learning Allowance

Our Process

We believe every candidate deserves a fair, transparent experience, so regardless of outcome, everyone gets feedback.

Our process: Recruiter call → Hiring Manager interview → Final interview.

Plusgrade is an equal-opportunity employer committed to accessible recruitment. We welcome applications from all qualified individuals regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, or any other category protected by law. Accommodation is available upon request. We may use AI-assisted tools to help screen and assess applicants for this role. This posting is for an existing vacancy.

Apply About employer

More about this job

Responsibilities

Design low-latency, full-stack machine learning architectures that connect backend ML systems with frontend delivery, and coordinate data pipelines, feature delivery, and production model lifecycles. Establish scalable architectural patterns and technical direction for reliable, highly available AI products, including agentic systems.

Requirements

The role calls for extensive systems architecture and software engineering experience, including taking AI systems from proof of concept into production and working with agentic workflows, LLM orchestration, and vector databases. Candidates should have strong cloud-native infrastructure and MLOps experience, particularly with AWS, Kubernetes, Docker, and SageMaker, and be able to align data science, data engineering, and enterprise architecture teams.

Skills

Systems Architecture
Software Engineering
Machine Learning
Distributed Systems
Low-Latency Architecture
Agentic Workflows
LLM Orchestration
Vector Databases
MLOps
AWS
Kubernetes
Docker
Python
Java
SQL
Data Engineering

Benefits

RRSP Matching
Comprehensive Health Plans
Flexible Paid Time Off
Travel Experience Perk
Annual Wellness Perk
Commuter Perk
Tenure-Based Work From Anywhere Program
Parental Leave Top-Up
Adventure Pass
Learning Allowance

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Solution Architecture
Machine Learning
Agentic Systems
Agentic Workflows
LLM Orchestration
Vector Databases
Distributed Systems
Low-Latency Systems
MLOps
Python
Java
SQL
PySpark
AWS
Amazon EKS
Amazon SageMaker
Amazon Bedrock
Amazon AgentCore
DynamoDB
ElastiCache
AWS Lambda
AWS Glue
Amazon Kinesis
Amazon S3
Kubernetes
Docker
Snowflake
Snowpark
Amazon Redshift

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