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Added 1 hour ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build and maintain a hybrid integration platform, utilizing web services or RESTful-based integrations and APIs
Added 4 hours ago
M
Lead Solution Architect
Manulife
Toronto, ON · Waterloo, ON · Regina, SK · Vancouver, BC · Halifax, NS · Calgary, AB
- Full-time
The Lead Solution Architect is responsible for defining and driving technology architecture strategy across Group Benefits a major business segment within the Canadian business segment.…
Added 5 hours ago
WI
IT Automation Architect
WSP in Canada
Moncton, NB
- Full-time
As IT Automation Architect, you will shape WSP’s IT automation ecosystem by architecting enterprise frameworks, reusable patterns, standards, and guardrails. This role combines deep…
Added 5 hours ago
WI
IT Automation Architect
WSP in Canada
Winnipeg, MB
- Full-time
As IT Automation Architect, you will shape WSP’s IT automation ecosystem by architecting enterprise frameworks, reusable patterns, standards, and guardrails. This role combines deep…
Added 5 hours ago
WI
IT Automation Architect
WSP in Canada
Toronto, ON
- Full-time
As IT Automation Architect, you will shape WSP’s IT automation ecosystem by architecting enterprise frameworks, reusable patterns, standards, and guardrails. This role combines deep…
Added 5 hours ago
C
ServiceNow Business System Architect
CGI
Toronto, ON
- Full-time
As a Senior ServiceNow Business System Architect, you'll responsible for the holistic design, direction and strategy of the enterprise ServiceNow platform. You will provide a technology…
Added 5 hours ago
WI
IT Automation Architect
WSP in Canada
Montreal, QC
- Full-time
As IT Automation Architect, you will shape WSP’s IT automation ecosystem by architecting enterprise frameworks, reusable patterns, standards, and guardrails. This role combines deep…
Added 5 hours ago
WI
IT Automation Architect
WSP in Canada
Halifax, NS
- Full-time
As IT Automation Architect, you will shape WSP’s IT automation ecosystem by architecting enterprise frameworks, reusable patterns, standards, and guardrails. This role combines deep…
Added 8 hours ago
C
AI Architect (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
We are looking for an AI Architect with deep technical expertise in optimizing training and inference for large language models (LLMs), multimodal models and AI systems in a media context.…
Added 9 hours ago
PC
Enterprise Application - Experienced Designer, Senior Associate (Reliability Security Clearance Required)
Pwc Canada
Ottawa, ON
- Full-time
Familiarity with the Salesforce digital customer platform, supported by certifications such as Salesforce Administrator, Platform Developer, App Builder, or Salesforce Architect.
Added 9 hours ago
P
Enterprise Application - Experienced Designer, Senior Associate (Reliability Security Clearance Required)
PwC
Ottawa, ON · Toronto, ON
- Full-time
Familiarity with the Salesforce digital customer platform, supported by certifications such as Salesforce Administrator, Platform Developer, App Builder, or Salesforce Architect.
Added 9 hours ago
W
IT Automation Architect
WSP
Montreal, QC
- Full-time
As IT Automation Architect, you will shape WSP’s IT automation ecosystem by architecting enterprise frameworks, reusable patterns, standards, and guardrails. This role combines deep…
Added 9 hours ago
MG
AI Solutions Architect
Mobility Global
London, ON
- Full-time
Partner with enterprise architecture, cloud platform, and data teams to ensure AI architecture aligns with the broader technology landscape
Added 9 hours ago
Senior ServiceNow Architect - Strategic Portfolio Management
Bell
Montreal, QC
The Senior ServiceNow Architect – Strategic Portfolio Management (SPM) is a senior enterprise architecture role accountable for the end-to-end technical direction, solution integrity and…
Added 10 hours ago
SP
Senior Technical Architect
Salesforce Partner Canada
ON · Ontario, Canada
- Full-time
Salesforce Professional Services is looking for a Senior Technical Architect. You will be serving as a strategic advisor and Salesforce product and platform expert to the company’s largest,…
Added 10 hours ago
KG
Power Platform & (Copilot AI)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
As the Power Platform & AI Agent Developer, you will serve as the principal technical authority responsible for designing, building, and deploying enterprise-grade low-code and pro-code…
Added 10 hours ago
AI
Oracle AI Architect
Apptoza Inc.
Brampton, ON
- Contract
Essential Skills: Experience: Minimum 10 years in Enterprise Architecture| with at least 3 years dedicated to AI/ML or Generative AI solutioning.
Added 11 hours ago
S
Technical Lead/Architect – AI & Power Platform
SharpAtoms
Calgary, AB
- Contract
Job Title: Technology & Information Architectures - Enterprise Technology Architect / Technical Lead - AI-Driven Development & Power Platform
Added 11 hours ago
Creative Director (Writer) Passport Brand Design
VML Canada (English)
Montreal, QC
…world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic…
Added 11 hours ago
Creative Director (Writer) Passport Brand Design
Passport Brand Design
Montreal, QC
…brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise…
Added 11 hours ago
A
Account Executive - Canada
Appficiency
Mississauga, ON
- Full-time
Partner with Solutions Architect (SAs) to provide tailored demonstrations and assessments of customer tech stack, even software outside our primary platform.
Added 11 hours ago
1P
Artificial Intelligence Engineer
10 Percent Recruiting Ltd.
AB · Greater Edmonton Metropolitan Area
- Contract
Our client is building an enterprise AI Factory to reimagine Retail Banking through the strategic adoption of artificial intelligence. This initiative is focused on transforming customer…
Added 11 hours ago
R
AI Architect (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
We are looking for an AI Architect with deep technical expertise in optimizing training and inference for large language models (LLMs), multimodal models and AI systems in a media context.…
Added 11 hours ago
R
Enterprise Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
We are looking for highly skilled and organized Enterprise Architect with deep subject matter expertise in Enterprise Software and Platform Architecture for our downtown Toronto, Ottawa or…
Added 12 hours ago
GM
Principal Software Engineering - Virtualization
General Motors
Markham, ON
- Full-time
…team as the Staff Engineer of Software Engineering, Embedded Platform. As a Continuous Integration Developer (Architect Level), you will define the architecture, standards, and strategy for…

Workday

Senior AI Engineer - Evisort AI

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

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

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $169,000 - $253,000 CADAdditional CAN Location(s) Base Pay Range: $169,000 - $253,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 30, 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 an AI Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis. You will collaborate with other engineers to deliver AI solutions across Workday's product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various AI pipelines. You will develop and deploy new products at scale and leverage Workday's vast computing resources on rich datasets to deliver transformative value to our customers.

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.

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 (Master’s preferred) 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
Experience using feature-flag/experimentation platforms (e.g., LaunchDarkly) to safely roll out, A/B test, and decommission changes, including flag lifecycle and cleanup discipline
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

The annualized base salary ranges for the primary location and any additional locations are listed below. 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 CAN Base Pay Range: $169,000 - $253,000 CADAdditional CAN Location(s) 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.

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More about this job

Responsibilities

You will develop tailored AI user experiences using LLMs, Knowledge Graphs, and predictive analysis while managing the lifecycle of AI pipelines. You will also collaborate with cross-functional teams to deliver scalable, high-availability AI solutions across the product ecosystem.

Requirements

Candidates must have 8+ years of professional software engineering experience with a focus on backend architecture and distributed systems. Additionally, 3+ years of experience integrating AI capabilities into enterprise products and proficiency in cloud-native environments are required.

Skills

Software engineering
Backend architecture
Distributed systems
LLMs
Foundation models
LangChain
LlamaIndex
Cloud computing
Docker
Kubernetes
Terraform
Python
System design
Scalability
Data engineering
Technical leadership

Benefits

Bonus plan
Stock grants
Flexible work
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
LLM
Knowledge Graphs
Predictive Analysis
Backend Architecture
Distributed Systems
Cloud Computing
AWS
GCP
Azure
Docker
Kubernetes
Terraform
Helm
ArgoCD
Python
FastAPI
Django
React
TypeScript
PostgreSQL
Redis
Kafka
Prometheus
Grafana
OpenTelemetry
SonarQube
LaunchDarkly
Document Intelligence
Contract Intelligence

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