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Added 3 mins ago
Quantum Engineer (Qubit System Performance)
Photonic Inc.
Coquitlam, BC
$119,000 to $163,000 CAD / year
Full-time
Collecting high quality data efficiently that answers fundamental technical questions and pushes performance metrics
Added 3 mins ago
Data Engineer – PySpark & SQL
Capgemini
Mississauga, ON
Full-time
We are looking for an experienced 3+ years of Data Engineer with strong hands-on expertise in PySpark, Python, SQL, and data engineering. The ideal candidate should have experience building…
Added 3 mins ago
Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
Siemens
Kitchener, ON
Full-time
We are seeking a Robotics Data Engineer to build the teleoperation and data collection layer for the Physical AI Runtime. This engineer will design pipelines for demonstration data,…
Added 3 mins ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Full-time
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 5 mins ago
Sr. Staff AI Full Stack Engineer
Synopsys
Canada Off-Site, Canada Off-Site Office
You are a passionate engineer who thrives in fast-paced, innovative environments. You have a deep understanding of software engineering principles and a strong command of Python, with the…
Added 5 mins ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Develop and maintain a complete animation data pipeline for ML training, from data source to deployment.
Added 5 mins ago
Staff R&D Engineer-17397
Synopsys
Vancouver, BC
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 mins ago
Staff Silicon Validation Software Engineer - 17309
Synopsys
Mississauga, ON
As a seasoned Software Engineer, you bring a strong combination of software expertise and hands-on experience in silicon validation environments. You are passionate about building software…
Added 5 mins ago
Staff Validation/Verification Engineer - 17399
Synopsys
Ottawa, ON
We are seeking a Staff Validation Engineer to own bring-up, validation, characterization, and debug of high-speed memory PHY subsystems including DDR, LPDDR, and HBM. You will work across…
Added 5 mins ago
Gameplay Data Science Engineer (Apex Legends)
Electronic Arts
Vancouver, BC
As a Gameplay & Data Science Engineer, you will drive the Research & Development of advanced bot behaviors and AI frameworks to enhance the Apex Legends experience. You will work at the…
Added 5 mins ago
Audio Software Engineer - EA SPORTS™ NHL
Electronic Arts
Vancouver, BC
As an Audio Software Engineer, you will develop and support the core technology that brings our audio experiences to life. You will collaborate closely with Audio Artists, Designers, and…
Added 5 mins ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
…application code and train neural networks using both raw 3D capture data that requires cleaning and high-fidelity, artist-tuned reference assets. You will build and refine models that…
Added 5 mins ago
Machine Learning Engineer III
Electronic Arts
Vancouver, BC
The Senior Machine Learning Engineer will report to the Senior Manager, EA Player Security Data Labs. You will follow a hybrid work model with a mix of remote work and in-office…
Added 5 mins ago
Anti-Cheat Operations Engineer
Electronic Arts
Vancouver, BC
…cheating activity to confirm or refute reports and improve the quality of our detections. You’ll deep dive into data provided by a variety of tools, and you’ll gather and review threat…
Added 5 mins ago
Quality Designer II – FC Live-Curation QV
Electronic Arts
Vancouver, BC
Interpreting product-level data and adapting existing metrics or KPIs to continuously raise quality requirements.
Added 5 mins ago
Développeur.se de logiciels sénior.e - applications dorsales / Senior Software Developer - Backend
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior Software Engineer, you will collaborate with Research Scientists and Engineers to shape how new technologies integrate into backend architecture. You will translate ideas from…
Added 5 mins ago
Développeur.se sénior.e des données d’apprentissage automatique / Senior ML Data Developer
Electronic Arts
Montreal, QC · Vancouver, BC
As a Senior ML Data Engineer, you will own the layer between raw game capture and research-ready datasets. You will define how multimodal game data is structured, enriched, evaluated,…
Added 5 mins ago
Senior Software Engineer (C++/C#) - Frostbite
Electronic Arts
Vancouver, BC
…optimizing real-time runtime performance. As a Senior Software Engineer in the Animation team, you will report to the Development Director in Animation. You’ll work on core animation…
Added 5 mins ago
Senior SDET Analyst
Citi
Mississauga, ON
Full-time
The Senior Development Engineer in Test is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth…
Added 5 mins ago
Lead Software Engineer - AI & Quality Engineering Focus (C# and Azure Cloud)
SimCorp
Toronto, ON
Full-time
You will join an agile team of 5-7 engineers working on our SimCorp Data Ingestion product. Together with your team, you will understand customer requirements, design solutions, implement…
Added 19 mins ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 19 mins ago
Industrial Engineer
PLP
Cambridge, ON
Full-time
Collaborate with cross-functional teams including Production, Quality, Maintenance, and Supply Chain.
Added 19 mins ago
AI/ML Systems Engineer
Actalent
Ottawa, ON
$50 to $67 CAD / hour
Contract
Systems Engineer, AI-Powered Diagnostics & Observability
Added 21 mins ago
Quality Assurance Engineer
Arrow
Cambridge, ON
Full-time
Position Summary: The Quality Engineer will ensure the quality of finished goods and first article/PPAP packages in preparation for shipping to customers. Act as a Champion and participate…
Added 30 mins ago
Software Engineer
Thrive Creative Inc
Calgary, AB
Full-time
Role Description As a Software Engineer at Thrive Creative Inc., you will work as part of forward-deployed engineering teams, collaborating closely with clients to design, build, and…

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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