Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 3 months ago
K
Senior AI Engineer - Growth
Kraken
Canada
- Full-time
As AI Engineer, Growth, you will be the second builder on this engine. Working alongside our lead architect, you execute - building, shipping, and iterating the agent orchestrations,…
Added 3 months ago
A
AI and Automation Software Engineer
AMD
Markham, ON
- $187,200 to $280,800 CAD / year
- Full-time
The AMD NBIO Team is on the lookout for a seasoned Software Engineer to lead our AI and Automation innovation. As a key contributor to the success of AMD’s IP, you will be leading the…
Added 3 months ago
D
Staff Software Engineer
Dialpad
Vancouver, BC
- Full-time
As a Staff Software Engineer, you’ll own the platformization roadmap for shared services, architecting a plan to decouple existing functionality into highly reusable services. Your…
Added 4 months ago
A
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a Full Stack Software Engineer who builds software in an AI-native way - someone who treats Claude and the latest agentic coding tools as a core part of their craft, not…
Added 3 months ago
E
Staff API Engineer
Equinix
Toronto, ON
- Full-time
…light theming, and CI/CD. Partners closely with a Senior Staff engineer on architecture and standards, and mentors junior team members through code reviews and shared…
Added 3 months ago
A
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
- Full-time
…What we care about is a faster, smoother day-to-day for every engineer, and AI is the biggest lever we…
Added 3 months ago
PA
AI Infrastructure Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona’s AI…
Added 3 months ago
PA
AI Modeling Engineer
Palona AI
Toronto, ON
- Full-time
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona’s voice and multimodal agents. You will own problems across…
Added 3 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing…
Added 3 months ago
Senior Principal Software Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 3 months ago
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 4 months ago
SI
Staff R&D Engineer-17397
Synopsys Inc
Vancouver, BC
- Full-time
You are an experienced software engineer with strong C++ skills and a solid foundation in 3D geometry, meshing, or related engineering workflows. You build reliable, maintainable software…
Added 5 months ago
BA
Product Engineer (Pharma)
Basetwo AI
Toronto, ON
- Full-time
We're hiring a Product Engineer to work closely with pharmaceutical and chemical manufacturing customers to deploy AI-powered solutions in real lab-scale and GXP environments.
Added 3 months ago
A
SoC Data Path Engineer
AMD
Markham, ON
- $120,800 to $181,200 CAD / year
- Full-time
We are seeking an experienced SoC Data Path Engineer to lead validation and debug of AMD's next-generation on-chip fabric and data transport architectures. This role focuses on post-silicon…
Added 3 months ago
L
Sr. Staff Physical Design Engineer
Lightmatter
Toronto, ON
- Full-time
Must have completed blocks or top level physical design for large ASICs or mixed signal chips that taped out
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
We are seeking a highly adaptable, creative, and well-rounded Machine Learning Engineer to join our team. You will own the end-to-end ML lifecycle, from dataset creation and foundational…
Added 3 months ago
Ingénieur DevOps / DevOps Engineer
mthree
Montreal, QC
Added 1 month ago
Staff Security Engineer
Forma.ai
Toronto, ON
As a Staff Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
W
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
As a Senior AI Engineer, your primary focus will be building AI features and intelligent agents specifically for the Contract Lifecycle Management (CLM) domain, though you will also be…
Added 3 months ago
P
Embedded Systems Engineer - Capture Systems
Peripheral
Toronto, ON
- Full-time
Candidates must have the legal right to work in Canada and be willing to relocate to Toronto for an in-office role
Added 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees…
Added 3 months ago
TA
Gen AI Engineer
Tiger Analytics
Canada
- Full-time
…Everest, ISG, and others.We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and…
Added 3 months ago
H(
Sr. Cloud Platform Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Reporting to the Sr. Manager, Cloud Platform, the Sr. Cloud Platform Engineer will be responsible for designing, maintaining and supporting cloud infrastructure and operations for HOOPP’s…
Added 3 months ago
H(
Sr. Cloud Platform Engineer (Network and Cloud Operations)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
Reporting to the Sr. Manager, Cloud Platform, the Sr. Cloud Platform Engineer will be responsible for designing, maintaining and supporting cloud infrastructure and operations for HOOPP’s…
Added 3 months ago
CS
Senior DevOps Engineer
Canadian Solar Inc.
Kitchener, ON
- Full-time
We are seeking a talented Sr DevOps Engineer to join our dynamic team and contribute to the delivery of on-site and cloud-based Energy Management System (EMS) for utility grade systems. The…

Senior AI Engineer - Evisort AI

Vancouver, BC, Canada
Toronto, ON, Canada
Canada, BC, Vancouver, Canada

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $169,000 CAD - $253,000 CADPrimary CAN Base Pay Range: $169,000 - $253,000 CAD · Full-time

Apply on workday.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $169,000 CAD - $253,000 CADPrimary CAN Base Pay Range: $169,000 - $253,000 CAD
Job type: Full-time
Posting language: English
Posted: Aug 31, 2026

Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Join the Evisort AI team at Workday, which powers Document Intelligence AI and Workday's CLM and Contract Intelligence offerings. Our mission is to change the way business deals get done. We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks. We build AI first products, and automate manual work, freeing up our customers time and accelerating their businesses. You will be joining the Evisort AI team, which functions as a startup within Workday. This is your opportunity to build at the pace of innovation of a startup, while backed by the enormous support and impacting Workday's incredible customer base of 70M+ users.

About the Role

As a Senior AI Engineer, your primary focus will be building AI features and intelligent agents specifically for the Contract Lifecycle Management (CLM) domain, though you will also be expected to contribute to other areas of the product as needed. While AI development is the primary deliverable, this is first and foremost a software engineering role requiring deep expertise in backend architecture and distributed systems. You will be responsible for architecting advanced LLM-driven solutions and agentic workflows that are not only innovative but also enterprise-grade - meaning they are highly available, scalable, and secure. By leveraging Workday's rich datasets and computing resources, you will build the robust infrastructure necessary to deliver transformative AI value to our customers at scale.

In addition to contributing to feature and service development, you must have an approach of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product approach and strong intuition around how AI can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are essential to succeed in this role.

Operational Excellence

A key component of this role is the continuous evaluation and improvement of the customer experience with AI agents. You will be required to rigorously assess agents' performance and user interactions to ensure our intelligent solutions are meeting user’s needs. Furthermore, you will actively work to integrate these agents into the broader Workday agents ecosystem, ensuring seamless interoperability and consistent AI value across the entire Workday platform.

About You

Basic Qualifications

8+ years of professional software engineering experience, with a heavy emphasis on backend architecture, distributed systems, and a proven track record of shipping high-availability production code at scale. Strong fundamental software engineering skills (system design, scalability, and performance optimization) are a non-negotiable primary qualification for this role.
3+ years of experience integrating AI capabilities (LLMs, Foundation Models) into enterprise products, framed within the context of robust software service extensions.
1-2+ years building with AI orchestration frameworks (e.g., LangChain, LlamaIndex) with a focus on creating predictable, reliable, and maintainable agentic workflows.
4+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP, Azure) to deploy highly responsive, scalable systems.
2+ years of hands-on experience deploying and operating services in containerized, cloud-native environments (Docker, Kubernetes), with exposure to infrastructure-as-code and GitOps tooling (e.g., Terraform, Helm, ArgoCD).

Other Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or equivalent technical field.
Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning or large models directly to solve practical end-user challenges.
System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models, establishing reusable patterns for system predictability, error handling, and seamless UX integration.
Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and setting up automated evaluation metrics (e.g., assessing retrieval quality and agentic behavior).
Hands-on experience with production observability and monitoring tooling (e.g., Prometheus/Grafana, OpenTelemetry, Sentry, Datadog) to debug, trace, and measure live systems
Familiarity with data persistence and async processing - relational databases and schema migrations (e.g., PostgreSQL), caching (e.g., Redis), and message/queue or task workflows (e.g., Celery, Kafka, SQS)
A track record of writing well-tested, maintainable production code with attention to code quality, security scanning, and dependency hygiene (e.g., unit/integration tests, SonarQube, dependency tooling)
Familiarity with full-stack development - building web UIs (e.g., React, TypeScript) and backend services/REST APIs in Python (e.g., FastAPI, Django)
Technical Leadership & Mentorship: Proven track record of technically leading engineering workstreams, taking ownership of the development lifecycle, and mentoring junior-to-mid level engineers.
Collaborative Communication: Excellent interpersonal skills, with a knack for bridging the gap between product management, design, and foundational ML infrastructure teams.
Thrives in Ambiguity: Highly autonomous builder capable of taking open-ended product goals and breaking them down into concrete, scalable engineering realities.

Workday Pay Transparency Statement

Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.VancouverPrimary Location Base Pay Range: $169,000 CAD - $253,000 CADPrimary CAN Base Pay Range: $169,000 - $253,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Apply on workday.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

You will develop and deploy AI-driven user experiences using LLMs, Knowledge Graphs, and predictive analysis to enhance contract intelligence products. Additionally, you will collaborate with cross-functional teams to build scalable AI pipelines and maintain high standards for system performance and security.

Requirements

Candidates must have 8+ years of software engineering experience with a strong background in integrating LLMs and modern AI frameworks into enterprise products. Proficiency in cloud-native environments, containerization, and building scalable, well-tested production code is essential.

Skills

Software Engineering
Large Language Models
Python
Cloud Computing
Docker
Kubernetes
LangChain
LlamaIndex
System Design
Data Engineering
Prompt Engineering
API Development
Observability
Technical Leadership
Mentorship
Full-stack Development

Benefits

Bonus plan
Stock grants
Flexible work
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
LLM
Foundation Models
LangChain
LlamaIndex
AWS
GCP
Docker
Kubernetes
Terraform
Helm
ArgoCD
PostgreSQL
Redis
Kafka
FastAPI
Django
React
TypeScript
Prometheus
Grafana
OpenTelemetry
Sentry
Datadog
LaunchDarkly
Document Intelligence
Contract Lifecycle Management
Machine Learning
Cloud-native
GitOps

Report this job

Work requirements

Jobs in Canada