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.