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Added 7 mins ago
Senior BigQuery Engineer (Local to Quebec)
Apptad
Montreal, QC
Contract
We are seeking a Senior BigQuery Engineer to design, build, and optimize scalable data solutions on Google Cloud Platform. This role will develop reliable data warehouses, ETL/ELT…
Added 38 mins ago
Senior Data Engineer
AgileGrid Solutions
Canada
Full-time
The Data and AI Technology (DAT) Engineering team at BMO is seeking a highly skilled Data Engineer to join our dynamic group. This role involves leading the end-to-end development of data…
Added 38 mins ago
Java Software Engineer
LanceSoft, Inc.
Toronto, ON
$70 to $75 CAD / hour
Contract
We are seeking a Senior Software Engineer to enhance a cross-asset order and position management system. The engineer shall have experience designing and building robust| scalable systems…
Added 38 mins ago
MLOps Engineer
Millennium Software and Staffing Inc
Canada
Contract
Looking for a Senior DevOps/MLOps Engineer with strong hands-on experience supporting production AI/ML platforms and Kubernetes environments.
Added 38 mins ago
Senior Machine Learning Engineer
Encore Technical Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
Full-time
Our client is a global financial services leader making a major strategic investment in AI. They're hiring a Senior AI Engineer to design, build and own the agentic systems that put their…
Added 38 mins ago
Azure Data Engineer (Automation & Integration)
Global X Canada
Toronto, ON
$85,000 to $100,000 CAD / year
Full-time
Global X Investments Canada Inc. is seeking an Azure Data Engineer to help build, support and automate our Azure-based data infrastructure. Reporting to the SVP, Digital Innovation & Data…
Added 1 hour ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
Experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to create…
Added 1 hour ago
Senior Software Engineer - Java
Q1 Technologies, Inc.
Toronto, ON
$65 to $73 CAD / hour
Contract
We are seeking a Senior Software Engineer to enhance a cross-asset order and position management system.
Added 1 hour ago
Director OHTN Cohort Study
Ontario HIV Treatment Network
Toronto, ON
Full-time
This position reports to the Senior Director, Programs and is responsible for the overseeing the OHTN Cohort Study, including its data platform, and its connection to other health/social…
Added 1 hour ago
Senior Applied AI Engineer – GenAI & Actuarial Systems
Manulife
Toronto, ON
Full-time
Manulife’s Group Functions AI team is scaling AI and advanced analytics capabilities across Finance, Treasury, Actuarial, and related enterprise functions to improve how decisions are made…
Added 1 hour ago
IC Validation Engineer Intern - BS/MS - 2027 Co-Op
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
Full-time
…monitor and test our chips. The candidate will be mentored by senior validation engineers, assisting with data collection, and presenting the results of their work. Join us and get the…
Added 1 hour ago
Senior Research Scientist
Seequent
Calgary, AB
Full-time
Reporting to the Team Lead, Research Engineer, this role advances Seequent Labs research and prototyping in geological modelling and artificial intelligence. The Senior Research Scientist…
Added 1 hour ago
Platform Engineer (Netezza)
CBL Solutions
Toronto, ON
Contract
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong…
Added 2 hours ago
Lead Senior Developer
Bentley Systems
Quebec, QC · Greater Quebec City Metropolitan Area
Full-time
7+ years working in relevant Software Engineering roles, including Senior Software Engineer.
Added 2 hours ago
Senior Data Engineer (Python / AWS / ML Pipelines)
Jobgether
Canada
Full-time
…all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in…
Added 2 hours ago
Senior AI Engineer - 12 Years (Full Time)
J2B Global LLC
Mississauga, ON
Full-time
Build AI-powered data analytics and self-service platforms.
Added 2 hours ago
Supply Chain and Planning Manager
Schneider Electric
AB · Edmonton, Alberta
Full-time
…facility serving Western Canada. Operating in a highly customized Engineer-to-Order (ETO) environment, you will play a critical role in driving operational performance, strengthening supply…
Added 2 hours ago
Senior Software Engineer - Conversational AI (Python)
Glia
Remote, Canada
Full-time · Remote
Added 4 hours ago
Data Engineer
Wiraa
Canada
Full-time
We are seeking a highly skilled Staff Data Engineer to join our Data Platform team. This senior individual contributor role demands a broad technical scope and a significant organizational…
Added 11 hours ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
Full-time
We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design…
Added 13 hours ago
Digital Architect – Data - GOAPRDJP00000987
S M Software Solutions Inc
AB · Edmonton, AB
Full-time
Experience as a data architect, software architect, or senior data engineer, where the proposed resource’s focus has been collaborative work on and/or with cross-functional teams to create…
Added 13 hours ago
Technical Director - Principal Groundwater Modeler
WSP in Canada
Montreal, QC
Full-time
…Modelling, you will be a recognized global modelling expert and senior technical leader within WSP's hydrogeology and water resources practice. You will provide strategic and technical…
Added 13 hours ago
Technical Director - Principal Groundwater Modeler
WSP in Canada
Montreal, QC
Full-time
…Modelling, you will be a recognized global modelling expert and senior technical leader within WSP's hydrogeology and water resources practice. You will provide strategic and technical…
Added 13 hours ago
Sr. Data Engineer - Snowflake
Procom
Toronto, ON
$63.75 to $85 CAD / hour
Contract
As a Senior Data Engineer, you will play a pivotal role in advancing the enterprise data platform strategy. This involves developing scalable data solutions and enhancing data governance…
Added 13 hours ago
Technical Director - Principal Groundwater Modeler
WSP in Canada
Toronto, ON
Full-time
…Modelling, you will be a recognized global modelling expert and senior technical leader within WSP's hydrogeology and water resources practice. You will provide strategic and technical…

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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