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Added 1 month ago
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Senior Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Platform Engineering Specialist to join our growing Platform Engineering consulting practice within the Emerging Technologies team.
Added 1 month ago
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Senior Data Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Data Platform Engineering Specialist to join our growing Data Platform Engineering consulting practice within the Emerging Technologies team.
Added 1 month ago
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Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Full Stack Developer to join our growing Software Engineering Practice within the Emerging Technologies team.
Added 1 month ago
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[Wattpad] Engineering Manager
WEBTOON Entertainment Inc. (Wattpad & WEBTOON Family of Brands)
Toronto, ON
- Full-time
8+ years of experience in software development with at least 3 years managing a team of 3 or more engineers including those at the Senior level or higher
Added 1 month ago
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API Architect
Moneris
Toronto, ON
- Full-time
The API Architect is responsible for the technical design and overall architecture of the Moneris API platform. In concert with site reliability engineering, owns the technical…
Added 1 month ago
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Lead AI Test Automation Architect
High Tech Genesis
Canada
- Contract
Seeking a Lead AI Test Automation Architect / Senior SDET to design and lead AI-powered Quality Engineering and test automation solutions. The role requires strong automation architecture,…
Added 28 days ago
Staff Software Engineer, Backend
Okta
Toronto, ON
…leverage their deep expertise in distributed systems, particularly Java, to architect, build, and scale the critical server-side software and services at the heart of our security and…
Added 1 month ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Group
Toronto, ON
Senior Director, Engineering – Corporates, Financial Institutions & Sovereigns
Added 2 months ago
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Senior Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Ratings
Toronto, ON
- Full-time
Fitch Ratings is seeking a Senior Software Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered platforms and applications that will transform…
Added 2 months ago
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Senior Development Consultant – Migration & Integration
CGI
Toronto, ON
- Full-time
The Senior Development Engineering Consultant for Migration Solution & Onboarding develops the services, utilities, and integration logic required to support safe transition from legacy…
Added 2 months ago
A
Staff Software Engineer
Acceldata
Kitchener, ON
- Full-time
…problems, contribute to open-source communities, and mentor senior engineers while shaping the future of large-scale data…
Added 2 months ago
A
Senior Software Engineer
Acceldata
Kitchener, ON
- $100,000 to $140,000 CAD / year
- Full-time
We are seeking a Senior Software Engineer with at least 7 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components…
Added 1 month ago
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Senior Software Engineer - Database
VAST Data
Vancouver, BC
- Full-time
VAST Data is looking for a Senior Software Engineer to join our growing team!
Added 1 month ago
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Chief Software Engineering Architect
DataStealth
Mississauga, ON
- Full-time
You're the most senior technical mind in the company - a hands-on architect who still writes code, still ships, and still de-risks the hardest problems personally. You set the technical…
Added 1 month ago
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Senior DevOps Engineer
DataStealth
Mississauga, ON
- Full-time
Architect and maintain cloud infrastructure using Infrastructure as Code (Terraform) within multiple providers (AWS, Azure, or GCP)
Added 26 days ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 28 days ago
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Lead Back-End Java Developer – Credit Risk Technology
Citi
Mississauga, ON
- Full-time
Citi is looking for a Lead Back-End Java Developer (Apps Dev Tech Lead Analyst - C13) to join its Credit Risk Technology team, taking ownership of complex backend application development…
Added 1 month ago
Staff Software Engineer, Financial Crimes
Stripe
Toronto, ON
Architect high-scale systems: Design and optimize distributed screening engines and detection pipelines handling entity- and transaction-level requests at scale with strict SLA and uptime…
Added 1 month ago
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API Architect
Moneris
Toronto, ON
- Full-time
The API Architect is responsible for the technical design and overall architecture of the Moneris API platform. In concert with site reliability engineering, owns the technical…
Added 1 month ago
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Senior AI Engineer, Full-Stack - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday's next chapter gets built. Within our AI organization, small, senior, cross-functional pods bring together product leaders, machine learning engineers, UX…
Added 1 month ago
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Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
Added 1 month ago
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Senior Principal Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
Added 2 months ago
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Senior Systems Analyst (SAP BTP)
Lindt & Sprüngli (North America) Inc.
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Systems Analyst with deep expertise in SAP Business Technology Platform (BTP) to drive design, integration, and innovation across enterprise…
Added 2 months ago
RB
Staff Software Engineer
Ritchie Bros.
Vancouver, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 2 months ago
PI
Java Engineer (Architect / Technical Lead) - Agentic AI
Princeton IT Services, Inc
Toronto, ON
- Full-time
Senior Java Engineer (Architect / Technical Lead) Agentic AI

Workday

Senior AI Engineer, Full-Stack - Agent Factory

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
Experience: 10+ years of professional software development experience, including significant full-stack ownership from modern frontend through backend services.
Posting language: English
Posted: Aug 12, 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. Within our AI organization, small, senior, cross-functional pods bring together product leaders, machine learning engineers, UX designers, and full-stack builders to create intelligent agents used by millions of people every day.
This is production-grade AI embedded deeply into Workday's platform - not research experimentation or maintenance work. We ship to paying enterprise customers today, and we're kicking off a new AI agent initiative that will define how our products reason and act on behalf of users. High trust, high expectations, and real impact. Engineering, but brighter.

About the Role

You'll own the end-to-end design, implementation, and product integration of our intelligent agents - and build the full-stack product surface those agents live in. Our ML Engineers build and optimize the foundational algorithms; your mission is intelligence orchestration and product delivery, connecting the brain to the product.

Expect to be hands-on across React frontends, backend microservices, APIs, data models, asynchronous workflows, agent orchestration layers, and delivery infrastructure. Because these agents work with sensitive HR and financial data at global scale, you'll help implement the guardrails that keep them private, predictable, and explainable.

This is the most senior engineering role on the team. You'll set the technical direction for our agent architecture, mentor the engineers around you, and be the person who presents the work when the stakes and visibility are highest.

Design and implement agentic workflows - orchestration and routing layers, tool calling, retrieval pipelines, memory, and multi-step reasoning - and integrate foundation models into customer-facing HR and Finance workflows.
Build and operate end-to-end features across React frontends, backend microservices, APIs, data models, and CI/CD. You build it, you run it.
Own the constraints that make agents viable in production: latency, cost per interaction, context-window efficiency, determinism, and graceful failure.
Build the evaluation loop - offline and online evals, benchmarking agent behavior against product requirements, and production observability of agent traces.
Implement Responsible AI in practice: guardrails, permission and data-boundary enforcement, PII handling, auditability, and explainability.
Lead high-visibility projects end to end and present them with confidence in design reviews, demos, and executive updates.
Make the call when the team needs one - gather input quickly, commit to a direction, document the trade-offs, and adjust as evidence arrives.
Mentor engineers, raise the technical bar, and partner closely with Product, UX, Machine Learning, and platform teams.

About You

Basic Qualifications

10+ years of professional software development experience, including significant full-stack ownership from modern frontend through backend services.
5+ years with backend web frameworks; Python frameworks such as FastAPI, Flask, or Django preferred.
2+ years integrating large models (LLMs, foundation models) and modern AI APIs into production, user-facing products.
1+ years designing and scaling AI orchestration architectures - multi-agent or tool-calling frameworks, routing layers, or advanced RAG pipelines.
4+ years using cloud platforms (e.g., AWS, GCP) to deploy responsive, scalable systems.

Other Qualifications

Track record of shipping AI and agentic features that real customers use in production, and owning them after launch - prototypes alone aren't the bar.
Product-first mindset: you apply large models to solve practical user problems, not to showcase the technology.
Practical command of LLM constraints (token and cost management, context-window efficiency, caching, streaming, fallbacks) and of evaluation - rapid prototyping, benchmarking outputs, and automated metrics for retrieval quality and agentic behavior.
Strong understanding of the governance, guardrails, and security layers required when deploying autonomous agents over sensitive enterprise data.
Proven ability to architect the application layer around AI models: reusable patterns for predictability, error handling, and seamless UX integration.
Strong experience with React or a comparable framework, TypeScript, state management, and modern build tooling, plus a commitment to accessibility (WCAG 2.1/2.2).
Deep knowledge of backend service architecture, microservice patterns, and REST API design, with proficiency in Python and ideally Kotlin or Java.
5+ years with relational databases (PostgreSQL preferred) and non-relational stores, including query analysis and indexing optimization.
Strong grasp of distributed-system trade-offs, with the ability to independently diagnose and optimize performance at scale.
Hands-on with Infrastructure-as-Code, CI/CD automation, Docker and Kubernetes, observability, incident support, and secure coding practices.
A natural technical leader: people follow your direction because of your clarity and judgment, not your title. You measure success by what the team ships, not only by what you ship.
Proven track record leading engineering workstreams end to end and mentoring junior-to-mid-level engineers into stronger ones.
Confident presenter who is comfortable owning the room, and steady when a project is visible, ambiguous, or under real time pressure.
Collaborative and decisive: you seek input broadly, disagree and commit, and keep momentum without steamrolling.
Highly autonomous builder who turns open-ended product goals into concrete, scalable engineering plans.
Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, or an equivalent technical field.
Experience integrating ML services or data pipelines into web applications; familiarity with Elasticsearch, rich-text editors or document-parsing tools, C4 diagramming, or Workday XO lifecycle management.

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.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.

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

Design and deliver full-stack applications and platform services that integrate AI agents into Workday's HR and Finance workflows. Lead the architecture of complex features while mentoring engineers and collaborating across cross-functional teams.

Requirements

Requires 8+ years of professional software development experience with significant full-stack and backend expertise. Candidates must have strong proficiency in Python, React, relational databases, and distributed system architecture.

Skills

Full-stack development
Python
React
PostgreSQL
Microservices
RESTful APIs
Cloud infrastructure
Distributed systems
CI/CD
Docker
Kubernetes
TypeScript
System architecture
Machine learning integration
Agile methodologies
Mentoring

Benefits

Annual bonus plan
Annual refresh stock grants

Visa sponsorship

Not detected in the job text

Keywords

Software Development Engineer
Agent Factory
AI
Full-stack
Python
React
PostgreSQL
Microservices
REST API
SaaS
Kotlin
Java
TypeScript
Distributed Systems
Infrastructure-as-Code
CI/CD
Docker
Kubernetes
DevOps
AWS
GCP
Elasticsearch
Scrum
Git
WCAG
System Architecture
Machine Learning
Cloud Computing
Enterprise Platform
Observability

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