Jobs in the United States

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Added 5 mins ago
Senior Cloud Developer
Hewlett Packard Enterprise
San Jose, CA
Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.
Added 5 mins ago
Lead Escalation Engineer (San Jose, CA)
Hewlett Packard Enterprise
San Jose, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 7 mins ago
Software Engineer - iOS (Technical Leadership)
Meta
Jackson, MS
Software Engineer - iOS (Technical Leadership) Responsibilities:
Added 8 mins ago
Capital One Shopping Tech, Full - stack Engineer 5 (Remote - Eligible)
Capital One
Jackson, MS
We are seeking a Full - stack Engineer 5 who is passionate about marrying data with emerging technologies. As a Full-stack Engineer 5, you’ll have the opportunity to be on the forefront of…
Added 8 mins ago
Software Engineer - Host Networking
Meta
Jackson, MS
At Meta, we're building and operating one of the world's most dynamic and fast-paced networks, powering our global data centers and supporting advanced technologies like AI, Generative AI,…
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Software Engineer, Infrastructure (Technical Leadership) - Central Security
Meta
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Added 15 mins ago
Databricks Engineer
Perficient
TOWN AND COUNTRY, MO
We currently have a career opportunity for a Databricks Data Engineer to join our AI Data Platforms-Data & Analytics-Delivery Team
Added 17 mins ago
Software Engineer, Data & Analytics Platform
Bayesian Health, Inc.
Remote, United States
- We’re looking for a software engineer to join the team to build and scale our data and analytical platform that tells us and our clients how our clinical AI products are performing in…
Added 22 mins ago
Databricks Engineer
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Added 24 mins ago
Software Engineer, Worldwide Amazon Stores Finance Technology, Controllership Engineering
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Added 26 mins ago
Data Automation QA Engineer
ManpowerGroup
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Role Name: Senior Data Automation QA Engineer
Added 1 hour ago
Senior World Sensing Engineer
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Added 1 hour ago
Vice President, Infrastructure Solution Engineer
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Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
San Francisco, CA
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Added 1 hour ago
Sr Platform Engineer - Backend
Baker Tilly Advisory Group, LP
United States
Baker Tilly is seeking a Sr Platform Engineer - Backend to join the founding team of the firm's AI Product Group (APG), supporting the development and operation of shared platform services…
Added 1 hour ago
Software Engineer
Adastra Corporation
Miami, FL
We are seeking a Software Engineer (Application Developer) to support the development and enhancement of modern cloud-based applications. This role will focus primarily on backend…
Added 1 hour ago
Senior Process Engineer
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As a Process Engineer, you'll play a crucial role in designing and optimizing manufacturing processes for display and semiconductor manufacturing technologies. You will collect and analyze…
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Fabrication Backend Process Engineer, Quantum AI
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Share Fabrication Backend Process Engineer, Quantum AI
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DreamWorks Technology - Principal Engineer, AI
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Maintain and iterate on deployed tools based on artist feedback and production data.
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AI Prompt Engineer
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CACI is seeking a forward-thinking AI Prompt Engineer to join a team delivering innovative AI solutions in support of U.S. Customs and Border Protection (CBP). This is a unique opportunity…
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Supply Chain Capacity Engineer
Meta
Menlo Park, CA
Meta is seeking a Supply Chain Engineer to join the Infrastructure Supply Chain and Engineering (ISCE) team to focus on operations and planning optimization for all of Meta's infrastructure…
Added 1 hour ago
Sr. Software Development Engineer, ML Infrastructure Team
Amazon
Cupertino, CA
We seek a Senior Software Development Engineer for the Machine Learning (ML) Infrastructure team to own and evolve the platforms used to guarantee top performance of AWS ML and High…
Added 1 hour ago
Senior Software Engineer, Multimodal Search Quality
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…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 1 hour ago
Senior AI/ML Research Engineer, Cloud AI Research and AI Rapid Response
Google
Mountain View, CA
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Added 1 hour ago
Software Engineer, Agentic Infrastructure for Data Engineering
Google
Sunnyvale, CA
Share Software Engineer, Agentic Infrastructure for Data Engineering

Workday, Inc.

Principal, Machine Learning Software Engineer, Admin Central

CA, United States

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Job details

Posting language: English
Posted: Oct 28, 2026

Original job description

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 at scale. If 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 long-term data-governance strategies.

About You

Basic Qualifications

12+ years in ML development and R&D leadership, including 8+ years with advanced ML methodologies, distributed frameworks, and cloud-based platforms - designing complex, scalable, production-grade ML systems.
6+ years building and hosting scalable ML services, microservices, and high-throughput data pipelines in production using Java, Go, Scala, or Python.
4+ years working with LLMs, generative AI, RAG pipelines, and autonomous agent frameworks for real-world enterprise applications.

Other Qualifications

Data Processing & Pipelines: Expert in high-throughput streaming (Kafka), real-time feature extraction (Spark/Flink), and distributed columnar storage (ClickHouse, Iceberg) to architect large-scale ML pipelines.
AI/ML Expertise: Deep knowledge of deep learning, LLM orchestration, RAG, and agentic systems - applying ML algorithms and Model-Based Design (including MCP integrations and tool-use frameworks) to multi-agent coordination, intent classification, and workflow optimization.
Data Analysis & Feature Engineering: Proven ability to lead EDA on multi-tenant agentic workflows to shape data strategy, paired with mastery of high-dimensional embeddings, vector database management, and data isolation.
Model Lifecycle: Proven ability to lead model building, fine-tuning, and deployment of domain-specific foundation models - including Kubernetes/Docker deployment, automated CI/CD retraining, and managing drift/latency at scale.
Technical Stack: Mastery of Python and the ML ecosystem (PyTorch, TensorFlow, LangChain, LangSmith, LlamaIndex, NumPy, Pandas, Scikit-learn), with strong experience deploying production systems on PostgreSQL, Redis, Kafka, and cloud infrastructure (AWS/GCP/Azure).
Team Leadership: Exceptional collaboration and mentoring skills - technically leading cross-functional pods, driving sprint planning, and translating technical/governance decisions for executives.
Education: Bachelor's in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field (or equivalent experience); Master's or PhD strongly preferred.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $228,000 USD - $342,000 USD

Additional US Location(s) Base Pay Range: $190,600 USD - $342,000 USD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. 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). 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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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. 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.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

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.

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More about this job

Skills

Machine learning
Workday
ML
Research
Decision making
Python
AWS
Leadership
Data engineering
Regulatory compliance
Microservices
Oracle Java
Go
Scala
Process data
Apache Kafka
Apache Spark
Deep learning
Workflow
Data analysis
EDA
Kubernetes
Docker
CI/CD
PyTorch
TensorFlow
LangChain
NumPy
Scikit-learn
PostgreSQL
Redis
Google Cloud
Microsoft Azure
Team leadership
Collaboration
Coaching
Computer science
Statistics

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