Workday

Workday

Principal Engineer, AI Production Readiness

Canada, ON, Toronto · Principal

Sponsorship not specified$149k-$224kDetected 5 days ago
PythonSnowflakeDatabricksAWSGCPCI/CDSite Reliability EngineeringMachine LearningData ScienceLLMsAgentic AIAccessibilityHRISUnityLeadershipCommunicationMentoring

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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 is a hands-on engineering role at the intersection of AI applications, data, identity and platform.
  • The Architecture & AI (AAI) organization is a dynamic and evolving team that is spearheading Workday's growth through trusted data excellence, innovation, and architectural thought leadership.
  • With a relentless focus on innovation and efficiency, Workmates in AAI enable the transformation of complex data sets into actionable insights that fuel strategic decisions and position Workday at the forefront of the technology industry.

Responsibilities

  • Design review and transition to operations: Run design and readiness reviews with platform, data, security and SRE partners, and own the handoff so no application enters production without an operator, a patch path and a rollback.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 8+ years of experience in Data & AI application development in a Python, IaC and CI/CD
  • 8+ years of modern data stack experience, ie
  • 6+ years of professional experience with LLM applications in a major cloud AI-native stack.
  • 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.
  • Excellent verbal and written communication skills.
  • Ability to work in alignment with business teams to build applications and translate platform constraints back into decisions.
  • Work with business counterparts and carry direction across partner functions on influence.
  • Open to 50% reporting to our Toronto office.

Nice to have

  • Production readiness standards and automated enforcement:
  • Architecture and paved-road assets:
  • Hands-on engineering:
  • Work in code with the current stack
  • Technical diagnosis and resolution:
  • Business engagement:
  • Cross-functional technical leadership:

Skills

  • Your work days are brighter here.

Compensation

  • $149,300 - $223,900 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

  • Equipped with an array of skills in data & AI platforms and architecture, data science, engineering, machine learning and AI strategy & product management, this team orchestrates the flow of data across our growing company while ensuring data accessibility, accuracy, and security.
  • We are seeking a Principal AI Engineer to own the technical path that carries internally built AI agents from prototype to enterprise-grade production on Workday's Databricks and AWS estate.

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.