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Added 4 days ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 4 days ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
Full-time
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 5 days ago
Senior Full Stack Engineer
OpenTable
Toronto, ON
As an engineer on the Diner Growth – Blog Team, you’ll take ownership of evolving our CMS and web platform. You’ll work across the full stack-from our existing WordPress, PHP, and Apache…
Added 5 days ago
Python Developer - AI Engineer
Highspring
Montreal, QC
Full-time
Highspring is seeking a Senior Python Developer (AI Engineer) to join a growing Artificial Intelligence and Machine Learning team. In this role, you will contribute to the design,…
Added 5 days ago
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
Full-time
…ou à l’échelle mondiale, afin de livrer des solutions d’IA générative accessibles, innovantes et créatrices de valeur pour les…
Added 5 days ago
Lead Data Engineer - AI & Machine Learning
Royal Bank of Canada
Toronto, ON
Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 5 days ago
Lead Data Engineer - AI & Machine Learning
RBC
Toronto, ON
Full-time
Join a high-performing team transforming RBC's Chief Data Office. You will work closely with SMEs, business stakeholders, architects, and senior developers to build and deploy scalable,…
Added 5 days ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 5 days ago
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…problems that lie at the intersection of machine learning and enterprise-scale software! We build advanced AI solutions that power the core Workday software by modeling user behavior and…
Added 5 days ago
Staff Platform Engineer - Materia AI
Thomson Reuters
Toronto, ON
Full-time
As a Platform Engineer, you will contribute to leading the design, development, and evolution of our next-generation cloud-native platforms. You will contribute to technical strategy,…
Added 6 days ago
Solutions Architect
Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
Establish the governance model for generative AI usage within the tenant, ensuring enterprise data protection is actively maintained and AI models do not train on internal proprietary data.
Added 6 days ago
AI Architect, Manager
Avanade
Toronto, ON
Full-time
…ONNX, Caffe, etc. preferred), Computer Vision and other Azure Data and AI…
Added 8 days ago
Solution Architect, Google Workspace & Gemini AI
Tundra Technical Solutions
Toronto, ON
$130,000 to $145,000 CAD / year
Full-time
Establish the governance model for generative AI usage within the tenant, ensuring enterprise data protection is actively maintained and AI models do not train on internal proprietary data.
Added 11 days ago
Associate or Vice President Full Stack Engineer
BMO
Toronto, ON · FCP
We are seeking an exceptional Full Stack Engineer to join our Data Cognition Team at BMO Capital Markets. In this pivotal role, you will architect, develop, and implement innovative…
Added 2 months ago
Staff Developer, Intelligent Implementation Workspace
Dayforce
Canada
It is one workspace that carries an implementation from a customer's raw inputs all the way through configuration, data migration, and testing. AI agents do the heavy lifting so the experts…
Added 8 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
…challenges and building scalable platforms that enable innovation at enterprise…
Added 8 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 USD / year
Full-time
…teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production…
Added 8 days ago
Applied AI Engineer
Hygiena
Mississauga, ON
Full-time
With rapid growth comes opportunity. We are looking for an Applied AI Engineer (LLM Applications Engineer) to join our team onsite in our Mississauga, Ontario Canada office! This is a…
Added 8 days ago
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 8 days ago
Growth Platform, Marketing Engineer
Faire
Toronto, ON
…fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite…
Added 9 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 9 days ago
Architect - Machine Learning
Quantiphi
Canada
Full-time
…High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI…
Added 9 days ago
Data Architect
Lantern
Calgary, AB · Greater Calgary Metropolitan Area
Full-time
Lantern is seeking an experienced, client-facing Data Architect to lead enterprise data strategy, architecture, and delivery across Azure Databricks, Microsoft Fabric, Power BI, and Azure.
Added 9 days ago
Data Architect
Lantern
Calgary, AB · Edmonton, AB · Toronto, ON
Lantern is seeking an experienced, client-facing Data Architect to lead enterprise data strategy, architecture, and delivery across Azure Databricks, Microsoft Fabric, Power BI, and Azure.
Added 10 days ago
Staff AI Engineer
Safe Software
Remote, Canada
$147,000 to $167,000 CAD / year
Full-time · Remote
This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous…

Dayforce

Staff Developer, Intelligent Implementation Workspace

Canada

Apply by: Nov 16, 2026
Posting language: English
Posted: Jul 22, 2026

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Original job description

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.

About the Opportunity

We are building the Intelligent Implementation Workspace, the AI-native system that will transform how customers go live on Dayforce.

It is one workspace that carries an implementation from a customer's raw inputs all the way through configuration, data migration, and testing. AI agents do the heavy lifting so the experts who deliver implementations are empowered to focus on the highest-value work. Domain agents across Workforce Management (WFM), Payroll, Core HR, and Benefits generate source-grounded configuration, tests, and data migrations. Human experts stay in the loop throughout, and their judgment remains crucial to how every customer goes live. This is a real product with a validated design and a clear path to reshape a market where implementation is one of the largest and least-disrupted spaces in enterprise software.

As a Staff Developer, you will set the technical direction for how we design and build these agentic systems. You will own a product area or platform surface end-to-end, frame the hardest system-level problems, and raise the bar for every engineer around you. You will help define the engineering foundations of an AI-native product from the ground up.

This role is ideal for someone who already builds with AI every day, is energized by agentic systems and the challenges of making them reliable, and wants to solve ambiguous, high-impact problems across teams. You should be comfortable setting technical direction where the right answer is not yet known and the ground is still being mapped.

If you are looking for well-scoped work, a mature and stable codebase, or a role where AI is a side interest rather than the core of the work, this is not that role.

What You'll Get to Do

Set the technical direction for the Intelligent Implementation Workspace and its agentic architecture.
Design the orchestration, agent, and platform layers that turn customer intent into generated, verified configuration, tests, and data migration with human-in-the-loop control throughout.
Build production-ready agentic systems, including agent orchestration across multiple domain agents, harness engineering, and evaluation infrastructure that ensures model output is grounded, auditable, and production-ready.
Own the quality bar for agent output by designing evaluation frameworks and measurements that track accuracy, straight-through processing, override rates, and regressions.
Lead by delivering solutions where technical risk is highest and establish engineering standards through architecture, design, and code reviews.
Act as a force multiplier by leveraging modern AI tools to accelerate design, coding, testing, debugging, and engineering practices across the team.
Drive technical decisions that span services and teams while partnering with Product, Design, Machine Learning, Platform, and product engineering teams across Workforce Management, Payroll, Core HR, and Benefits.
Own the reliability and production readiness of your solutions, including observability, logging, monitoring, troubleshooting, and continuous improvement.
Bring strong product judgment and make thoughtful technical trade-offs throughout delivery.

Skills and Experience We Value

Demonstrated experience building production agentic systems and architectures, including agent orchestration, evaluation frameworks (evals), and harness engineering.
Demonstrated ability to leverage AI to improve execution for yourself and your team, with measurable outcomes such as reduced cycle time or faster delivery.
Strong, recent hands-on experience building production software, preferably using C# and .NET.
Strong backend development experience with front-end capability; experience with React, TypeScript, or similar frameworks is an asset.
Proven experience designing and delivering reliable, maintainable distributed systems.
Ability to define ambiguous system-level problems and drive complex technical decisions with significant business impact.
Strong product mindset and technical judgment with the ability to balance outcomes and trade-offs.
Ownership mentality with the ability to lead initiatives from concept through delivery.
Experience with observability, monitoring, logging, troubleshooting, and production readiness.
Excellent communication and collaboration skills with both technical and non-technical stakeholders.

What Would Make You Stand Out

Experience delivering AI-enabled product capabilities using both generative and non-generative models where outputs must be grounded, auditable, and human approved.
Experience designing evaluation frameworks and quality measurements for AI systems.
A track record of raising the engineering bar across multiple teams while remaining a hands-on technical leader.
Passion for solving complex systems problems and transforming them into elegant, dependable software.
A desire to help shape the future of AI-enabled enterprise implementations while continuing to grow your technical leadership.

What’s in it for you

Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.

We encourage individuals to apply based on their passions.

Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.

With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.

This job posting is for an existing vacancy

Artificial intelligence may be used in the screening, assessment, or selection of applicants for this position.

About the Salary Ranges

Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including bonuses and/or incentives, or a candidate’s experience, skills, budget and location. Our company is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization.

Proficiency in English is required for this position as this role will regularly interact with English-speaking stakeholders, co-workers, managers and/or clients across the world. Further, our back office support teams, including but not limited to Human Resources, are primarily English speaking. Employees need to be able to communicate with these departments in English to appropriately administer their business relationship. Due to the significant high volume of interactions with these English-speaking co-workers, managers, stakeholders and/or clients, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

Fraudulent Recruiting

Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud

Dayforce actively monitors all job applications to ensure authenticity. Submissions determined to be fraudulent or misleading will be declined from the recruitment process

Pour consulter cette offre d'emploi en français, veuillez utiliser le lien: https://jobs.dayforcehcm.com/fr-CA/mydayforce/alljobs

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More about this job

Responsibilities

You will set the technical direction for the Intelligent Implementation Workspace and design the agentic architecture that automates configuration, testing, and data migration. You will lead engineering standards, own the quality bar for AI outputs, and act as a force multiplier across multiple product teams.

Requirements

The role requires extensive experience building production-ready agentic systems, including orchestration and evaluation frameworks. You must have strong backend development skills, preferably in C# and .NET, along with a proven track record of delivering reliable distributed systems.

Skills

Agentic systems
AI orchestration
C#
.NET
Backend development
React
TypeScript
Distributed systems
Evaluation frameworks
Observability
Monitoring
Logging
System architecture
Product judgment
Technical leadership

Benefits

Time away from work programs
Comprehensive wellness initiatives
Competitive pay
Charity programs

Visa sponsorship

Not detected in the job text

Keywords

Staff Developer
AI-native
Agentic systems
HCM
C#
.NET
React
TypeScript
Distributed systems
Evaluation frameworks
Evals
Harness engineering
Observability
Monitoring
Logging
Workforce Management
Payroll
Core HR
Benefits
Generative models
Software engineering
Technical leadership
Cloud HCM
System architecture

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