Workday

Workday

Manager, Machine Learning Engineering - Agent Factory

Canada, BC, Vancouver · Senior

Sponsorship not specified$170k-$254kDetected 8 days ago
Full-Stack DevelopmentMachine LearningLLMsRAGAgentic AILangGraphAI OrchestrationHRISResearchLeadershipCommunicationCollaborationProblem SolvingMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 99%

Of 78 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

49 transfer filings in the last year, covering 49 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Agent Factory is where Workday's next chapter gets built.
  • This is production-grade AI-deeply embedded into Workday's platform-not research experiments or maintenance work.
  • You'll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly.

Responsibilities

  • Build, lead, and mentor a team of exceptional engineers.
  • Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
  • Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
  • Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 7+ years of engineering experience
  • 3+ years of engineering leadership delivering products at scale, with a strong focus on AI/ML and cloud-based systems
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
  • 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).
  • Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree.
  • Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI
  • Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
  • Strong problem-solving, communication, and collaboration skills.

Nice to have

  • Experience with the Workday platform is a strong plus.

Skills

  • Your work days are brighter here.

Compensation

  • $169,600 - $254,400 CAD
  • 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.

Benefits

  • Foster a culture of innovation, collaboration and continuous improvement and learning.
  • Our Approach to Flexible Work
  • 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.

Company info

  • 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.
  • Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale.
  • High trust, high expectations, and real impact.
  • Engineering, but brighter.
  • We are seeking a Manager to lead the development of AI agents for our HR and Finance business.

Equal opportunity

  • Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
  • If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
  • Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
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This listing is sourced directly from Workday's careers page and normalized into a canonical job model.