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Added 13 mins ago
Senior Chassis Diagnostic Engineer – Driveline & Trailering
General Motors
Markham, ON
Full-time
This role is intended for a highly capable technical engineer who can define diagnostic requirements that will be translated into production-ready embedded controls for Driveline and…
Added 28 mins ago
Mechanical Engineer Intern/Co-Op
BEUMER Group
Calgary, AB
Internship
As an Intern, Mechanical Engineering, you will join our Calgary-based Project Engineering & Integration teams, contributing to Mineral and Mining projects while gaining valuable hands-on…
Added 28 mins ago
Test & Validation Engineer / Ingénieur(e) en essais et validation
Vention
Montreal, QC
Full-time
We're looking for an analytical, process-oriented engineer to help strengthen how Vention's automation applications and components are validated, investigated, and continuously improved.…
Added 58 mins ago
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…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…
Added 58 mins ago
Principal Engineer
RTX
Calgary, AB
Full-time
We are presently seeking a highly motivated and skilled Principal Engineer to join our team. This position will play a critical role in the design, development, integration, testing, and…
Added 1 hour ago
Security Engineer (17-Month Contract)
Varicent
Toronto, ON
Contract
Varicent is looking for a hands-on Security Engineer to join our Information Security team on a 17-month contract and help strengthen the security of our systems, applications, and cloud…
Added 1 hour ago
Senior Manager, Data Products
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
Full-time
Lead, develop, and grow a small team, including a Data & Analytics Engineer, and manage external engineering capacity for special projects.
Added 1 hour ago
Electrical EIT
Komline Pure Water
Surrey, BC
$75,000 to $95,000 CAD / year
Full-time
· Coordinate electrical designs with mechanical, process, instrumentation, and controls disciplines to ensure proper integration and constructability.
Added 1 hour ago
Senior Software Developer
ADGA Group Consultants Inc
Ottawa, ON
$100,000 to $125,000 CAD / year
Full-time
Design and execute unit, integration, and system testing to validate software functionality, performance, and reliability.
Added 1 hour ago
Building Automation Engineer
Honeywell
Burnaby, BC
Full-time
As the Building Automation Engineer at Honeywell, your main responsibility will be to provide technical support and services to our clients. This includes diagnosing and troubleshooting…
Added 1 hour ago
Sr. Physical Design Engineer, Place & Route Lead
AMD
Markham, ON
$155,200 to $232,800 USD / year
Full-time
…leading-edge AI and high-performance computing products on advanced process technologies. As a Senior Physical Design Engineer, you will lead physical implementation activities for complex…
Added 1 hour ago
Founding Engineer, Full Stack + AI
Superpower
Toronto, ON
Full-time
…you to, like a product, a side business, a club, or a broken process at work. What did you do, how did it turn out, and what would you do…
Added 1 hour ago
Software Engineer Intern
Electronic Arts (EA)
Vancouver, BC
Temporary
Behind those experiences are highly available, distributed backend systems designed to process and serve player data at scale.
Added 1 hour ago
Platform Reliability Engineer
Appnovation Technologies
Toronto, ON · Montreal, QC
Observability Integration: Connect AgentCore Observability and CloudWatch with the client’s existing observability tools (e.g., Datadog, Splunk, Grafana).
Added 1 hour ago
AgentCore Platform Engineer
Appnovation Technologies
Toronto, ON · Montreal, QC
…reach the internal systems the business already runs on. Each engineer will have a main focus in one of the two areas below and work closely across both. What you build becomes the template…
Added 2 hours ago
Senior Software Developer
ADGA Group
Ottawa, ON
$100,000 to $125,000 CAD / year
Full-time
Design and execute unit, integration, and system testing to validate software functionality, performance, and reliability.
Added 2 hours ago
[C] Salesforce Engineer / Developer
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON
Part-time
…to support the administration, configuration, development, integration, and ongoing optimization of our Salesforce ecosystem, with a strong focus on Salesforce Loyalty Cloud / Loyalty…
Added 2 hours ago
Staff Software Engineer, OIN
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
The Okta Integration Network (OIN) is the platform that lets Okta customers discover, connect, and manage third-party applications and identity providers - from single sign-on and…
Added 2 hours ago
Staff Software Engineer, OIN
Okta
Toronto, ON
The Okta Integration Network (OIN) is the platform that lets Okta customers discover, connect, and manage third-party applications and identity providers - from single sign-on and…
Added 3 hours ago
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon
Montreal, QC
Added 3 hours ago
Electrical Engineer- EN
IAMGOLD Corporation
Gogama, ON
Full-time
We’re actively searching for an Electrical Engineer to join the Côté Gold team, starting as soon as possible (TBD), reporting to the Chief Engineer. This role develops and enforces…
Added 3 hours ago
Controls Engineer Job Description
Porter Engineered Systems - A Division of Pangeo Group
Windsor, ON
Full-time
The Controls Engineer will design, implement, and optimize control systems for a wide range of manufacturing equipment, including metal-forming, fabrication, finishing processes and…
Added 3 hours ago
Business Development Manager, Enterprise Wireless & Network Services
ArcLinx Technology
Vancouver, BC
$100,000 to $120,000 CAD / year
Full-time
…stakeholders, and you know how to guide an opportunity through that process with patience and…
Added 3 hours ago
Electrical Engineer
Agri-Neo
Toronto, ON
Full-time
We are seeking an Electrical Engineer to support the design and execute the assembly and commissioning of industrial food pasteurization systems shipped globally. This role is a hands-on…
Added 3 hours ago
Geotechnical Data Specialist
AtkinsRéalis
Ottawa, ON
Full-time
…enterprise data platforms, cloud-based data solutions, data integration, or related digital initiatives, and substantial experience in Microsoft Azure…

Workday

Senior AI Engineer - Evisort AI

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

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

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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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