Workday

Workday

Principal AI Engineer

Canada, BC, Vancouver · Principal

Sponsorship not specified$188k-$282kDetected 12 days ago
Full-Stack DevelopmentAlgorithmsAWSGCPPlatform EngineeringMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPLLMsRAGAI OrchestrationStatisticsAgileHRISResearchCommunicationCollaborationMentoring

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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 filing pattern in this occupation

Context, not a finding about this posting: of this employer's 66 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

Workday, Inc. obtained a prevailing wage determination for Software Developers in Boulder, COLORADO on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 7 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 98%

Of 58 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.

Community outcomes

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About the role

  • This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack.
  • You'll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.
  • Agent Factory is where Workday's next chapter gets built.

Responsibilities

  • As a Principal AI Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
  • 6+ 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, taking ownership of development lifecycle and sprint planning
  • Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
  • 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.
  • 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 for information retrieval and/or recommendation system use cases
  • Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
  • Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.

Nice to have

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

Skills

  • Your work days are brighter here.

Compensation

  • $188,000 CAD - $282,000 CAD
  • $188,000 - $282,000 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

  • 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.
  • This is production-grade AI-deeply embedded into Workday's platform-not research experiments or maintenance work.
  • Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale.
  • 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.
  • High trust, high expectations, and real impact.
  • Engineering, but brighter.

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.