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Principal, Machine Learning Software Engineer, Admin

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: Workday, Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 228000 - 342000 USD Yearly USD 228000.00 342000.00 YEAR
Job Description & How to Apply Below
Principal, Machine Learning Software Engineer, Admin Central# Careers at Workday## Principal, Machine Learning Software Engineer, Admin Central Apply:
Flex:
USA, CA, Pleasanton:
Full Time:
Posted Today:
JR-0111084
** 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
** Admin Central is building the future of how administrators work across Workday, turning a fragmented patchwork of tools and disconnected AI into a single, unified experience. Within Admin Central, Workday implementations move from being driven by human effort to being powered by intelligence designed into the platform. You’ll build mission-critical distributed systems, high-availability usage pipelines, new agentic functionality, and event-driven data flows across global product regions to ensure enterprise billing integrity  you're excited to build from scratch, move fast, and transform how thousands of admins work every day, come join us!
** About the Role
** As a Principal Software Engineer (ML/AI) on the Admin Central team, you will lead the architecture and implementation of Workday’s next-generation AI platforms and autonomous agent frameworks. You’ll sit at the intersection of machine learning, event-driven data systems, and enterprise platform engineering—transforming cutting-edge AI research into production-ready, highly reliable systems handling tens of millions of daily requests for hundreds of enterprise tenants.  

In this hands-on, high-impact role, you will design the ML infrastructure, multi-agent orchestration layers, and high-availability usage pipelines that power enterprise-grade decision-making, usage tracking, and automatic tenant maintenance.  Your Primary Focus:
* Agentic AI & Orchestration:
Design, implement, and maintain advanced agentic capabilities, including tool calling, multi-agent workflows, long-range planning, reasoning frameworks, and human-in-the-loop integrations.
* Scalable ML

Infrastructure: Build secure, high-throughput REST services and event-driven data pipelines using Python, AWS, and cloud-native tech. Architect multi-tenant runtimes that deliver fast, low-latency inference to millions of global users.
* MLOps & Enterprise Reliability:
Establish end-to-end MLOps standards—including CI/CD automation, observability, evaluation frameworks, model monitoring, and privacy/anonymization guardrails—ensuring systems are explainable, secure, and production-resilient.
* Technical & Strategic Leadership:
Partner closely with software engineers, Product Managers, Data Engineering, SRE, and Legal/Compliance stakeholders to turn ambiguous business needs into scalable technical designs and…
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