Jobs / United States / Workday INC
Senior AI Software Engineer – Deployment Technology
Workday INC · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 255 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 103 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Workday INC paid sponsored hires in similar roles80 certified filings for “Software Development Engineer” (Software Developers) in CA: $166k–$214k, median $188k. Most were filed at wage level II (64%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Workday INC
The US Department of Labor certified 255 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 103 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Workday INC →
About the role
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team The Deployment Technology team is transforming how Workday is deployed and managed. Our mission is to reduce deployment time, cost and complexity while helping customers realize value faster. We build products that help Workday implementation teams and partners get customers live faster by making it easier to discover proven setup approaches, reuse configuration, automate repetitive work and use AI-powered tools to guide and complete complex implementation tasks. We also help customers become more self-sufficient after deployment, making it easier to manage and maintain Workday, adopt new products and features, and stay on top of ongoing change through intuitive, AI-enabled experiences. Working closely with customers, partners and product teams across Workday, we're shaping the next generation of deployment technology across the full customer lifecycle. About the Role As an AI Software Engineer in Deployment Technology — a newly created profile on the team, based in Dublin — you will design and build the AI-powered systems and tooling that guide and automate complex Workday implementation tasks. You'll work closely with Product Management, data science, and platform engineering to take AI capabilities from concept to production, helping implementation teams and partners deploy Workday faster and helping customers stay self-sufficient long after go-live. What You'll Do • Design, build and deploy AI-powered features and tools that automate repetitive implementation work and guide complex configuration tasks • Integrate AI/ML models (including LLM-based capabilities) into Deployment Technology products, from prototype through production • Build and maintain the infrastructure, pipelines, and monitoring needed to run AI systems reliably at scale • Collaborate with Product Management, implementation teams, partners, and enablement to understand real deployment challenges and translate them into AI-driven solutions • Continuously improve performance, reliability, and cost-efficiency of deployed AI capabilities • Help define engineering standards and best practices for AI development, since this is a new and growing discipline on the team About You Basic Qualifications: • 8+ years of experience in software engineering • Expert level proficiency in Python • Experience in LangGraph, LangChain, and LangSmith • Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++ • Demonstrated, hands-on experience building applications with Large Language Models Other Qualifications: • Experience implementing agentic design patterns whe