{"schemaVersion":"jobsearcher.job.v1","id":"780ba1457c24c48ba2b85694","url":"https://jobsearcher.com/jobs/780ba1457c24c48ba2b85694","canonicalUrl":"https://jobsearcher.com/jobs/780ba1457c24c48ba2b85694","title":"Software Development Engineer - Document Intelligence","description":"Overview\nIn this role you will contribute to the Document Intelligence team within Workday’s AI Platform, turning ML concepts into production-ready solutions. You’ll help build scalable AI pipelines and agentic capabilities that automate and accelerate business processes. You will work with cross-functional teams to ship robust software that handles large data while ensuring security and scalability. This is an opportunity to shape cutting-edge AI products used by millions of users and enterprise customers.\n\nCompensation / Benefitsbase salary range providedbonus plan or commission possibilitystock grantsflexible/hybrid work modelremote work optionsequal opportunity employer\nResponsibilitiesDevelop and maintain AI platform capabilities focused on tool calling, multi-agent architectures, and human-in-the-loop integrationsBuild and deploy secure RESTful services using Python and Kubernetes; contribute to multi-tenant runtimes for fast inference at scaleParticipate in design reviews, uphold code quality, and implement maintainable, testable softwareTranslate product requirements into technical designs with cross-functional teamsApply MLOps standards including automation, observability, and CI/CD to ML solutionsContinuously learn and contribute to the team’s collective AI/ML knowledge\nKey requirements5+ years of software development experience2+ years Python experience with production code2+ years building scalable data pipelines and working with large datasets2+ years deploying production services to cloud platforms (AWS, Azure, GCP) and using Docker/Kubernetes for MLOpsBachelor’s degree in a relevant field or equivalent practical experienceStrong algorithmic thinking and experience with scalable distributed systemsExcellent communication and collaboration skillsOwnership mindset and track record of delivering high-quality productsAbility to work in cross-functional teams and share knowledgePythonKubernetesRESTful web services","company":"Workday","rawCompany":"workday","city":"Oakland","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:20:34.083Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Development Engineer - Document Intelligence","description":"Overview\nIn this role you will contribute to the Document Intelligence team within Workday’s AI Platform, turning ML concepts into production-ready solutions. You’ll help build scalable AI pipelines and agentic capabilities that automate and accelerate business processes. You will work with cross-functional teams to ship robust software that handles large data while ensuring security and scalability. This is an opportunity to shape cutting-edge AI products used by millions of users and enterprise customers.\n\nCompensation / Benefitsbase salary range providedbonus plan or commission possibilitystock grantsflexible/hybrid work modelremote work optionsequal opportunity employer\nResponsibilitiesDevelop and maintain AI platform capabilities focused on tool calling, multi-agent architectures, and human-in-the-loop integrationsBuild and deploy secure RESTful services using Python and Kubernetes; contribute to multi-tenant runtimes for fast inference at scaleParticipate in design reviews, uphold code quality, and implement maintainable, testable softwareTranslate product requirements into technical designs with cross-functional teamsApply MLOps standards including automation, observability, and CI/CD to ML solutionsContinuously learn and contribute to the team’s collective AI/ML knowledge\nKey requirements5+ years of software development experience2+ years Python experience with production code2+ years building scalable data pipelines and working with large datasets2+ years deploying production services to cloud platforms (AWS, Azure, GCP) and using Docker/Kubernetes for MLOpsBachelor’s degree in a relevant field or equivalent practical experienceStrong algorithmic thinking and experience with scalable distributed systemsExcellent communication and collaboration skillsOwnership mindset and track record of delivering high-quality productsAbility to work in cross-functional teams and share knowledgePythonKubernetesRESTful web services","datePosted":"2026-09-15T04:20:34.083Z","dateModified":"2026-09-15T04:20:34.083Z","hiringOrganization":{"@type":"Organization","name":"Workday","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oakland","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"780ba1457c24c48ba2b85694"},"url":"https://jobsearcher.com/jobs/780ba1457c24c48ba2b85694"}}