# Senior AI Engineer

**Company**: Workday
**Location**: Vancouver, BC
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $180,200 CAD - $270,200 CAD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/Canada-BC-Vancouver/Senior-AI-Engineer_JR-0109358-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4ec86c6b-980

## Description

We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. As a Senior AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents.

## 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.

## About the Role

As an AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll own how models, agent logic, and orchestration layers come together in production,across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement.

## Basic Qualifications

- 7+ years experience as a member of an AI engineer, data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale

- 3+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow

- 4+ years of professional experience in building services to host machine learning models in production at scale

- 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases

- 4+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)

- Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams

- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

## Other Qualifications:

- Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation

- Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing

- Professional experience in independently solving ambiguous, open-ended problems and technically leading teams

- Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders

## Workday Pay Transparency Statement

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.

## Primary Location and Pay Range:

Primary Location: CAN.BC.Vancouver Primary Location Base Pay Range: $180,200 CAD - $270,200 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.

## Skills

### Required
- machine learning
- deep learning
- cloud computing
- large language models
- natural language processing

### Nice to have
- autonomous agents
- orchestration frameworks
- statistical analysis
- unsupervised machine learning
- supervised machine learning

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Source: [Apply at workday.wd5.myworkdayjobs.com](https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/Canada-BC-Vancouver/Senior-AI-Engineer_JR-0109358-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)