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Chef d’équipe, Gestion des commandes – Opérations de vente au détail // Team Lead, Retail Operations Order Management
SharkNinja
Montreal, QC
- Full-time
…scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:0dac30de-3b8c-4fad-bd4f-c3d5acffeb44-0"…
Added 16 mins ago
Expert Product Manager – Netwrix Auditor
Netwrix Corporation
Canada
We are seeking an accomplished, seasoned Lead Product Manager to define and drive the strategy for Netwrix Auditor - the compliance audit and security-investigation backbone of Netwrix…
Added 30 mins ago
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Solutions Architect
Sigmoid
Toronto, ON
- Full-time
Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions by building modern data architectures using…
Added 31 mins ago
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Associate Director-Energy Sector
Guidehouse
Vancouver, BC · Client Office: Vancouver, BC
- Full-time
Drive client impact in areas such as business, technology, and customer transformation, integrated system planning, decarbonization strategy, grid modernization, and AI and data analytics.
Added 1 hour ago
RP
Associate Director Medical Information - Canada
Regeneron Pharmaceuticals
Toronto, ON
- Full-time
Serve as the key product and scientific data expert.
Added 2 hours ago
TH
DC OPS PLANNING MANAGER
The Home Depot Canada
Vaughan, ON
- Full-time
Lead process improvement initiatives and projects
Added 2 hours ago
PC
Risk Modelling Services, Actuarial P&C Director (Bilingual FR/EN)
PwC Canada
Toronto, ON
- Full-time
Lead, manage and grow our Quebec P&C Actuarial Services team, including team development, client service delivery and business growth
Added 2 hours ago
AH
Executive Associate
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
…support executive decision-making and organizational objectives. Lead financial analysis, forecasting, business planning, and performance reporting for a $149M provincial portfolio.…
Added 2 hours ago
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Senior Talent Acquisition Advisor
Jobgether
Canada
- Full-time
Recruitment Analytics and Reporting: Develop and maintain recruitment reports, track relevant metrics, and use data to evaluate sourcing effectiveness, identify bottlenecks, and improve…
Added 2 hours ago
GT
Digital Marketing Specialist
Grand Theatre
London, ON
- Contract
…social media, content creation, email campaigns, and website analytics, while also analyzing digital marketing trends and reporting on campaign…
Added 2 hours ago
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Site Supervisor S2 Up to 8 FTE, Core Laboratory - Pemberton Health Centre and Whistler Health Centre Laboratories
Sanya’k̓ula
Whistler, BC
- Full-time
Ensure the Operations Manager and Technical Practice Lead are informed of the equipment needs for the site/area and provides data such as test volumes and maintenance documents as required.…
Added 2 hours ago
LB
Junior Digital Marketing Project Manager
Longhouse Branding & Marketing
Langley (District), BC · Langley, BC
- Part-time
Present results to clients with confidence, and back every recommendation with research and data. Lead clients to the next best step so they feel ready to act.
Added 2 hours ago
CO
Manager Policy and Risk Management
City of Saint John
Saint John, NB
- Full-time
As required, able to lead and guide a team of workers toward realizing the organization’s goals.
Added 2 hours ago
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Senior Manager, Forecast Delivery, Personal and Commercial Operations
Jobgether
Canada
- Full-time
In this role, you will lead the strategic development and delivery of advanced forecasting capabilities to support workforce planning and operational excellence.
Added 2 hours ago
SM
Manager, Finance, Performance & Analytics
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Reporting to the Vice President, Corporate Services & Chief Financial Officer, the Manager, Finance, Performance and Analytics supports the hospital's strategic objectives, performance…
Added 2 hours ago
PC
Transaction Services Manager - Financial Services (Bilingual FR/EN)
PwC Canada
Toronto, ON
- Full-time
…net working capital and analysis of debt and debt-like items. Data analytics tools will be utilized to drive efficiencies in data processing and analysis, and to present data…
Added 2 hours ago
CO
Temporary Solutions Integration Specialist (up to 8 months)
City of Saint John
Saint John, NB
- Temporary
…maintenance of the City’s website, web-based applications, software, data (including databases and interfaces), enterprise system and other…
Added 2 hours ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
Experience with reporting, data management, and analytics solutions
Added 3 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 3 hours ago
CC
Specialist, Procurement
Coca-Cola Canada Bottling Limited
Brampton, ON
- Full-time
Lead RFP process end to end for the required categories driving price negotiation, supplier base expansion and cross functional alignment
Added 3 hours ago
TC
Senior Product Analyst
TJX Canada – Winners, Marshalls, HomeSense
Mississauga, ON
- $87,780 to $122,892 CAD / year
- Full-time
…global Workday platform. In this highly visible role, you’ll lead cross-functional collaboration, influence strategic product and security decisions, and drive end-to-end solution delivery…
Added 3 hours ago
KM
Analyste d'affaires (Maritimes)
Konica Minolta Business Solutions Canada
Moncton, NB
- Contract
…The Business Analyst will play a critical role in advancing data-driven decision making through AI-enabled reporting solutions, Power BI, Microsoft Copilot, predictive analytics and…
Added 3 hours ago
GM
Actuarial Specialist
Gore Mutual Insurance
Cambridge, ON
- Full-time
Strong knowledge of actuarial pricing techniques, predictive modelling, and data analytics.
Added 3 hours ago
Data Integration Lead
HEXAWARE
Canada
Hands-on experience with Azure Databricks for data processing, data engineering, or analytics workflows. o Experience in pyspark, ADF, o Python experience o Hands-on experience with SQL,…
Added 3 hours ago
Data Integration Lead
HEXAWARE
Canada
Real-time data pipelines using Azure Databricks, PySpark, Kafka, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS), enabling reliable ingestion and transformation of 10M+ records…

Workday

Sr AI Engineer

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
Apply by: Oct 25, 2026
Posting language: English
Posted: Oct 21, 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

Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI - deeply embedded into Workday’s platform - not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.

About the Role

As a Principal AI Engineer in Agent Factory, you will lead the end-to-end system design, architectural framework, and product integration of Workday’s next generation of intelligent agents. While our ML Engineers focus on building, training, and optimizing foundational algorithms, your mission is intelligence orchestration and product delivery - connecting the brain to the product.

Sitting at the intersection of AI capabilities, enterprise platforms, and human workflows, you will architect how foundational models are safely and reliably integrated into functional, production-grade software. You will own the design, experimentation, and orchestration of complex agentic workflows, translating cutting-edge AI capabilities into enterprise-grade business value. Because these agents interact with sensitive HR and financial data at a global scale, you will be a core champion for Responsible and Governed AI - architecting systems with strict guardrails for data privacy, predictability, and explainability. This role requires a balance of high-level system design and hands-on execution, solving critical product constraints like latency, cost, and reliability.

About You

Basic Qualifications

10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design, plus 2+ years of dedicated focus building production-grade LLM/agentic systems OR 7+ years of experience specifically within Machine Learning Engineering or AI application development, with 3+ years dedicated to shipping LLM-backed products.
3+ years of hands-on experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing enterprise products.
2+ years of experience designing and scaling complex AI orchestration architectures - including multi-agent frameworks, routing layers, and advanced RAG pipelines.
6+ years of experience optimizing application performance (specifically tackling constraints like API latency and user interaction design), with 2+ years applied to modern LLM constraints (such as token management, cost optimization, and context-window efficiency).
6+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP) to deploy highly responsive, scalable systems.

Other Qualifications

Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
Responsible AI Stewardship: Deep understanding of how to implement governance, guardrails, security layers, and evaluation mechanisms necessary when deploying autonomous agents over sensitive enterprise HR and financial data.
Proven track record of technically leading cross-functional pods, mentoring senior engineers, and steering the product development lifecycle from abstract concept to successful deployment.
Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning/large models directly to solve practical end-user challenges.
System Design & Integration: Expert-level ability to architect robust application layers that wrap around AI models, ensuring system predictability, error handling, and seamless UX integration.
Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and managing continuous experimentation cycles for agentic behavior.
Thrives in Ambiguity: Highly autonomous leader capable of taking complex, open-ended product goals and turning them into scalable, concrete 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 lead the end-to-end system design and architectural framework for Workday's next generation of intelligent agents. This involves orchestrating complex agentic workflows and ensuring the safe, reliable integration of foundational models into production-grade software.

Requirements

Candidates must have 10+ years of professional software engineering experience with deep expertise in distributed systems and cloud computing. A strong background in building production-grade LLM-backed products and designing complex AI orchestration architectures is required.

Skills

Distributed systems
Cloud computing
API design
LLM
Agentic systems
Machine learning
AI orchestration
RAG pipelines
System design
Responsible AI
Data privacy
Cross-functional leadership
Product delivery
Software engineering
Scalable systems

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
Distributed Systems
Cloud Computing
API Design
LLM
Machine Learning
Agentic Frameworks
RAG
System Architecture
Responsible AI
Data Privacy
AWS
GCP
Enterprise Software
Product Delivery
Cross-functional Leadership
Software Engineering
Scalability
Latency Optimization
Token Management
Context-window Efficiency
Governance
Security Layers
Evaluation Mechanisms
Prototyping
Benchmarking
Human Workflows
Intelligent Agents
Production-grade AI
Fortune 500

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