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Added 18 days ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
FORWARD - DEPLOYED Engineer · Montréal, QC · Full-Time, Permanent · 100% On-Site · Start Date: September 14, 2026
Added 19 days ago
Senior Java Full Stack Engineer, TD Securities
TD
Toronto, ON
Full-time
As a Senior Java Full Stack Developer, demonstrate ownership, accountability, and long-term thinking by delivering secure, reliable, maintainable, and business-aligned technology solutions.
Added 19 days ago
Senior Full Stack Developer - AI & Developer Productivity
Royal Bank of Canada
Toronto, ON
Full-time
The Senior Full Stack Developer is a hands‑on engineer and pragmatic technical partner on the APT product team. You will design and build responsive Angular frontends, resilient Java/Spring…
Added 19 days ago
Lead Software Engineer (Agentic AI & Full Stack) - Vice President
Citi
Mississauga, ON
Full-time
Citi is looking for a Lead Software Engineer to architect and deliver next-generation Agentic AI applications at the intersection of full-stack engineering and large language model…
Added 19 days ago
Senior Product Engineer
Royal Bank of Canada
Toronto, ON
Full-time
5+ years of modern full-stack web application development experience (React, API design, scalable systems)
Added 19 days ago
Senior Full Stack Engineer - Chief Technology Officer (CTO) - Platform Engineer
HSBC
Toronto, ON
Full-time
Join Chief Technology Officer (CTO) Platforms as a Senior Full Stack Engineer focused on app.hsbc with end-to-end responsibility for one or more platform products and services. This is a…
Added 20 days ago
Senior Product Engineer
RBC
Toronto, ON
Full-time
5+ years of modern full-stack web application development experience (React, API design, scalable systems)
Added 24 days ago
Senior Software Development Engineer
BeyondTrust
Canada
Full-time
BeyondTrust is seeking a Sr Software Development Engineer to help build the NHI Governance domain within our Pathfinder products. You will design, build, and operate the full-stack services…
Added 25 days ago
Sr. Software Development Engineer / Principal Software Development Engineer
Workday
Toronto, ON
Full-time
…support more than 20 agents going into production, improving cost governance, exploring hosting open-source LLMs in our stack, evaluating a potential rewrite of the service in a different…
Added 25 days ago
Senior AI Engineer, Agentic Healthcare Platform
TechDoQuest
Canada
Contract
Exposure to React and TypeScript for occasional full-stack collaboration, while remaining primarily backend/platform focused.
Added 25 days ago
Senior Data & Analytics Engineer (Platform Engineer - 12 month temp)
BCI
Vancouver, BC
Temporary
BCI's Data and Analytics platform drives decisions across 75% of the organization, and we are looking for a Senior Data and Analytics Engineer (Platform) who can step in and own it. Based…
Added 20 days ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 26 days ago
Senior Data Engineer
Aduna Global
Montreal, QC
Full-time
Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As…
Added 16 days ago
Senior SRE/AIOps Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Our team supports a portfolio of multi-platform HR data pipelines that move and process data into Snowflake through multiple integrated components, requiring end-to-end monitoring,…
Added 24 days ago
Senior SRE/AIOps Engineer
RBC
Toronto, ON
Full-time
Our team supports a portfolio of multi-platform HR data pipelines that move and process data into Snowflake through multiple integrated components, requiring end-to-end monitoring,…
Added 25 days ago
Senior AI Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior AI Engineer, you will be responsible for Full-Stack Software Development i.e. building modern, cloud-based, and AI-enabled applications that help Manulife make decisions easier…
Added 25 days ago
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
Full-time
As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 1 month ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech…
Added 1 month ago
Lead Analytics Engineer
Innodata Inc.
Canada
$130,000 to $150,000 CAD / year
Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 5 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
Full-time
Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech…
Added 28 days ago
AI Engineer
YuJa Inc.
Toronto, ON · North York, Ontario
Full-time
Familiarity with front-end or full-stack technologies is a plus
Added 29 days ago
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Remote, Canada
Full-time · Remote
Big Viking Games is hiring a Senior DevOps Engineer, Agentic Automation & Live Games to modernize the infrastructure behind our live-service games and help reinvent how those systems are…
Added 1 month ago
Senior Software Engineer I
Thomson Reuters
Toronto, ON
Full-time
We're looking for a Senior Software Engineer to join the CoCounsel Applications team and play a hands-on role in building and evolving our external integration strategy leveraging MCP and…
Added 1 month ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact North America
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 1 month ago
Senior AI Engineer Java
J&M Group
Toronto, ON
Full-time
We are seeking an experienced and highly motivated Senior AI Engineer to join the Canada Segments Technology Strategy team. This role will accelerate business and technology transformation…

Workday

Sr. Software Development Engineer / Principal Software Development Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 26, 2026
Posting language: English
Posted: Aug 27, 2026

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Original job description

About the Team

The AI Model Serving team is the engine behind every production Workday agent and machine learning use case. We own the services that power all production AI workloads, serving as the gateway to vendor-hosted LLMs on GCP and AWS Bedrock and operating the model deployment platform where Workday hosts and scales its models.

We host thousands of traditional ML models across sharded Ray Serve clusters. Our platform handles approximately 2,000 requests per second and peaks at greater than 10,000 requests per second in our largest cluster. We also provide a uniform interface for accessing models on Bedrock and Gemini, and the production model registry for Workday.

In the year ahead, we are focused on making our uniform vendor interface more robust, scaling our architecture to support more than 20 agents going into production, improving cost governance, exploring hosting open-source LLMs in our stack, evaluating a potential rewrite of the service in a different language for performance gains, and keeping pace with the rapidly evolving AI landscape.

Our culture is one of focus, camaraderie, and high performance. We are a friendly and dedicated group that takes pride in building and operating one of the most heavily used services at Workday. If you are energized by working on infrastructure that sits at the heart of Workday's AI strategy, this is the team for you.

About the Role

As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and direction of the platform alongside the engineering manager. You will play a central role in making critical design decisions, driving outcomes across the team, and setting a positive and inclusive team culture. In addition to the model serving platform, the team also owns the production model registry at Workday, and you will help guide its evolution and ensure it meets the needs of ML teams across the organization.

Your work will directly impact Workday's ability to serve AI at scale - from traditional ML models to the latest large language models powering Workday's agents.

Key Responsibilities:

Lead the team technically by making critical design decisions that drive performance, reliability, and scalability across the platform.
Design, implement, and maintain large-scale systems that enable moving ML models to production.
Write design documents to build consensus for new system components and enhancements to existing components.
Evaluate and uptake new technologies made available within Workday and across the broader industry.
Troubleshoot, improve, and scale continuous integration software pipelines.
Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
Respond to alerts and debug production issues to maintain platform health and reliability.
Review pull requests and enforce consistency, performance, readability, and security across code bases.
Develop documentation to share knowledge with other engineers.

About You

(P5) Principal SDE Basic Qualifications

10+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Other Qualifications

Software Development and Distributed Systems: Deep experience designing, building, and scaling production-grade distributed systems. You understand the full software development lifecycle - from coding standards and testing to code reviews, source control management, and deployment - and you can apply that knowledge to complex, high-throughput platforms.
Python: Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models, including how they are served, scaled, and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.
You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost.
Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams.
A collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment.
Help set the product vision for the AI Model Serving platform in partnership with the engineering manager, bringing a product-oriented mindset to infrastructure decisions.

(P4) Sr. SDE Basic Qualifications

6+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Other Qualifications

Software Development and Distributed Systems: Deep experience designing, building, and scaling production-grade distributed systems. You understand the full software development lifecycle - from coding standards and testing to code reviews, source control management, and deployment - and you can apply that knowledge to complex, high-throughput platforms.
Python: Deep proficiency in Python, with extensive experience writing production-level code and building systems in Python-based frameworks.
LLMs and Traditional ML Models: Familiarity with both large language models and traditional machine learning models, including how they are served, scaled, and monitored in production environments. You understand the operational differences and can design platform abstractions that serve both effectively.
You can design and maintain monitoring strategies that provide clear insight into system health, performance, and cost.
Excellent written and verbal communication skills, including the ability to write clear design documents, articulate complex technical ideas, and build consensus across teams.
A collaborative approach to engineering, with experience mentoring other engineers and fostering an inclusive team environment.

Apply About employer

More about this job

Responsibilities

Lead the technical design and implementation of a large-scale AI model serving platform to support production ML workloads and agents. Ensure platform reliability, scalability, and performance while managing the production model registry.

Requirements

Requires a Bachelor's degree in Computer Science or a related field and 6 to 10+ years of experience in software development focusing on distributed systems. Deep proficiency in Python and familiarity with serving both traditional ML and LLMs in production environments are essential.

Skills

Distributed Systems
Python
Large Language Models
Machine Learning
System Design
Ray Serve
Cloud Infrastructure
CI/CD Pipelines
Model Serving
Scalability
Performance Tuning
Technical Leadership
Monitoring Strategies
API Design
Production Engineering
Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Python
LLM
Machine Learning
Distributed Systems
Ray Serve
GCP
AWS Bedrock
Gemini
Model Registry
CI/CD
Scalability
High-throughput
Infrastructure
Production Engineering
Cloud Computing
API
Monitoring
System Architecture
AI Agents

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