Workday

Workday

Software Development Engineer - Document Intelligence

USA, CA, Pleasanton · Senior · Contract

Sponsorship not specifiedDetected 11 days ago
PythonDistributed SystemsAlgorithmsPostgreSQLRedisAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTMachine LearningData EngineeringNLPComputer VisionLLMsRAGAgentic AIMLOpsHRISCommunicationCollaboration

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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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.

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About the role

  • You will play a vital role in turning innovative ML concepts into production-ready solutions, with a focus on agentic AI capabilities such as planning, reasoning, and action execution frameworks.
  • You will write clean, performant code that ensures these systems are resilient in production.
  • You will contribute to the development of multi-tenant runtime architectures that enable fast inference and scale to millions of users.

Responsibilities

  • As a Software Development Engineer for the Document Intelligence team, you will be a key contributor to the team, working closely with senior engineers and ML researchers to build and deploy robust, scalable AI platforms.
  • Implement AI Platforms: Develop and maintain sophisticated AI platform capabilities, focusing on patterns like tool calling, multi-agent architectures, and human-in-the-loop integrations.
  • Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. You will contribute to the development of multi-tenant runtime architectures that enable fast inference and scale to millions of users.
  • Participate in design reviews and code quality initiatives.
  • We design scalable document processing pipelines that can ingest and interpret large volumes of data with minimal manual intervention.
  • Collaborative Engineering: Participate in design reviews and code quality initiatives. You will apply software development best practices to ensure our codebase remains maintainable, testable, and efficient.
  • Apply MLOps Standards: Utilize industry-standard practices, including automation, observability, and CI/CD, to deliver high-quality ML solutions.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
  • 5+ years experience in software development engineering including designing, developing, and deploying software solutions.
  • 2+ of experience building scalable data pipelines and working with large-scale datasets.

Requirements

  • 2+ years of experience in Python, with a consistent track record of shipping production code and systems.
  • 2+ years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps.
  • Bachelor's degree in a relevant field such as Computer Science, Engineering, or a related discipline, or equivalent practical experience.
  • 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.

Skills

  • Your work days are brighter here.

Compensation

  • $148,000 USD - $222,000 USD
  • $123,900 USD - $222,000 USD
  • 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

  • This is a very exciting opening in the AI Platform team in our Document Intelligence team.
  • We believe if you do what you love, you'll love what you do.
  • There's a lot to love at Workday.
  • We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday's groundbreaking collaborative products supporting a customer base of more than 31 million strong.
  • Over 65% of the Fortune 500 are Workday customers.
  • The Document Intelligence team builds AI/ML-powered solutions to extract actionable insights from unstructured documents.
  • Our work includes advanced document parsing using NLP, computer vision, and large language models (LLMs), along with in-house model training for entity resolution.
  • We integrate seamlessly with business workflows for areas like financials, spend management, and more.
  • By continuously evolving our models to handle new document types and edge cases, we help automate and accelerate critical business processes across the organization.
  • Workday's AI Platform organization is bringing "AI first" products to life at every step of the Workday product offering.
  • We're looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of these challenges.

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.