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Added 8 hours ago
Sr Software Engineer- Mobile Development
Boyd Gaming
Las Vegas, NV
Monitors mobile application performance, crash reporting and usage analytics and recommends improvements.
Added 9 hours ago
Consulting BI Architect
HCA Healthcare
Nashville, TN
…data architecture, engineering, business intelligence, and analytics teams to establish architectural standards, review technical designs, and resolve complex modeling and performance…
Added 9 hours ago
Power BI Consulting Engineer
HCA Healthcare
Nashville, TN
The Consulting Application Engineer position demands a combination of creative technical skill and superior interpersonal competencies of listening, consulting, teaching, negotiating, and…
Added 11 hours ago
Sr Data Engineer-Sr Consultant- AI&E
Deloitte US
Philadelphia, PA
…a collaborative environment? As an experienced Senior Data Engineer Sr Consultant, you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 14 hours ago
BH
Sr. Data Enterprise Engineer
BJC HealthCare
Saint Louis, MO
- $101,483.2 to $165,276.8 USD / year
BJC is hiring for a Enterprise Data Engineer. The Data Engineer develops, tests, and maintains reliable data pipelines and datasets that support reporting, analytics, and data science. This…
Added 16 hours ago
Sr. Threat Detection Automation
NORTHWESTERN MUTUAL LIFE INSURANCE
MILWAUKEE, WI
JOB REQUIREMENTS: About the Job: We are looking for a highly motivated Security Automation Engineer with experience in Data Engineering to join NM\'s Security Automation & Data Analytics…
Added 20 hours ago
AE
Sr Software Engineer II
American Express
New York, NY
- $123,000 to $215,250 USD / year
…engineering, APIs, distributed systems, and data security. The engineer will design and develop secure, scalable, resilient, and observable solutions that connect Salesforce with enterprise…
Added 1 day ago
M
Senior Azure Data Engineer (No C2C)
ManpowerGroup
Baltimore, MD
- $71 to $75 USD / hour
Our client, a leading organization in the energy sector, is seeking a Sr. Data Engineer to join their team. As a Sr. Data Engineer, you will be part of the Data Engineering department…
Added 1 day ago
Sr Program Manager, Workplace Health & Safety, Central Programs Team
Amazon.com Services LLC
Nashville, TN · Bellevue, WA · Arlington, VA
The WHS Central Programs team is on a mission to engineer risk out of Amazon's operations. We are a ~160-person global team united by a single goal: delivering the highest-impact safety…
Added 1 day ago
Engineer Senior Analyst - Assistant Vice President
Citigroup
Irving, TX
The Engineer Sr Analyst is an intermediate level position responsible for a variety of engineering activities including the evaluation, benchmarking and certification of end user hardware.…
Added 1 day ago
Data Engineer/Sr Data Engineer, IT Analytics
American Airlines
Fort Worth, TX
Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
Added 1 day ago
EA INFRASTRUCTURE ENGR SR, FCH - ENTERPR
FROEDTERT
MENOMONEE FALLS, WI
Added 1 day ago
Sentinel - Sr. Staff Systems Engineer
Northrop Grumman
Roy, UT
Northrop Grumman Defense Systems is seeking to hire a Sr. Staff Systems Engineer in Roy, UT, in support of the Sentinel program. Northrop Grumman supports the Air Force’s sustainment,…
Added 1 day ago
ES
Sr. GIS Solution Engineer - AEC
Environmental Systems Research Institute Inc.
Louisville, CO
- $98,592 to $173,576 USD / year
Experienceintegrating software solutions with other business systems including datawarehousing, BI, CRM, ERP, and analytics platforms
Added 1 day ago
E
Sr Data Engineer 1
Exelon
OAKBROOK TERRACE, IL
- $104,800 USD / year
…products, and processes under the guidance of a Principal Data Engineer or Manager. May coordinate tasks for other team…
Added 1 day ago
Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)
Capital One
Chicago, IL
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 1 day ago
Senior Manager, Full-stack Engineer (People Leader)-EDT
Capital One
New York, NY
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 1 day ago
Sr. Software Development Engineer, Amazon Demand Side Platform, Forecasting
Amazon
New York, NY
…for dealing with internet scale datasets to work on Amazon's Analytics, Forecasting and Optimization Platform for advertising. Our platform is used across Amazon by a variety of advertising…
Added 2 days ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Jackson, MS
As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented…
Added 2 days ago
Senior Manager, Full-stack Engineer-People Leader
Capital One
Cambridge, MA
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Added 2 days ago
Sr Principal Software Engineer
Northrop Grumman
Remote, United States
Northrop Grumman Mission Systems is looking for you to join our team as a Sr. Principal Software Engineer to join the MS Data & Analytics organization. This is a remote role and can be…
Added 2 days ago
EU
Senior Azure Data Engineer (No C2C)
Experis USA
Baltimore, MD
- $71 to $75 USD / hour
Our client, a leading organization in the energy sector, is seeking a Sr. Data Engineer to join their team. As a Sr. Data Engineer, you will be part of the Data Engineering department…
Added 2 days ago
Sr Data Integration Engineer
Compeer Financial
Mankato, MN · Lakeville, MN · Bloomington, IL · Sun Prairie, WI · Prairie du Sac, WI
Supports reporting, analytics, and application users by designing and creating secure, performant consumption views and curated data products in Microsoft Fabric Lakehouses and Warehouses.
Added 2 days ago
Sr. AI Engineer
CalPrivate Bank
San Diego, CA · Brea, CA · El Segundo, CA · Newport Beach, CA
The Role: Sr. AI Engineer- Data Analytics & Artificial Intelligence
Added 2 days ago
Sr. Manufacturing Engineer
OptiTrack
Corvallis, OR
OptiTrack seeks a hands-on Senior Manufacturing Engineer to develop, automate, optimize, and scale manufacturing for motion capture, tracking, vision, and sensing products. Working across…

Closed listing

Workday, Inc.

Sr ML Engineer, Business Process Optimization

CA, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 works across Workday - turning a fragmented patchwork of tools and disconnected AI into a single, unified experience.

Within Admin Central, the Business Process Optimize team powers the underlying platform infrastructure. You’ll build mission-critical distributed systems, high-availability usage pipelines, 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 Senior Software Engineer on the BP Optimize (BPO) team, you will lead the technical design, development, and scaling of advanced ML pipelines, predictive analytics engines, and AI-driven recommendation features. BPO sits at the core of Workday’s enterprise AI and automation strategy, serving over 100+ Tier-0 customer accounts and handling millions of daily inference requests through high-throughput analytics, Model Context Protocol (MCP), and agentic workflows.

In this role, you will bridge the gap between production-grade distributed software engineering and modern ML/LLM architectures. You will architect low-latency inference services, build automated feature stores and retraining pipelines over big data infrastructure (Kafka, Spark/Flink, ClickHouse, S3), and extend AI observability across agent execution loops using frameworks like LangSmith and LangChain.

Key Responsibilities

ML Infrastructure & Pipeline Engineering: Architect, deploy, and maintain end-to-end Machine Learning pipelines - from distributed data ingestion and feature engineering to model training, evaluation, and production deployment.
Agentic AI & Recommendation Engines: Design algorithms and LLM-driven recommendation features (e.g., IDD insights, next-best-action models) that optimize agentic workflows and tool usage.
Low-Latency Inference & Scaling: Optimize real-time model inference and scoring microservices to ensure sub-second response times across high-concurrency multi-tenant environments.
LLM & Agentic Observability: Integrate telemetry and tracing (OpenTelemetry, LangChain, LangSmith) into ML pipelines to track model performance, prompt/response drift, and execution efficiency.
Data & Feature Store Architecture: Collaborate with core backend engineers to leverage big data platforms (ClickHouse, Apache Iceberg, Spark) for high-dimensional feature retrieval and analytics.
Cross-Functional Leadership: Partner closely with Product Managers, Data Engineering, SRE, and Legal/Compliance to translate complex business and governance requirements into scalable ML solutions.

About You

Basic Qualifications

8+ years of experience in machine learning development, researching, developing, and implementing advanced machine learning models and techniques, with at least 4+ years focused explicitly on building, deploying, and operating production Machine Learning systems at scale.
5+ years of experience and proficiency in deep learning, natural language processing (NLP), and GenAI/LLM orchestration, utilizing frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, LangChain, and LlamaIndex, alongside proficiency in Java, Go, Scala, or C++ for high-performance backend systems.

Other Qualifications

Data Processing & Pipelines: Strong ability in distributed processing (Spark, Flink, Kafka) and high-throughput columnar/vector storage (ClickHouse, Pinecone, Milvus) to design robust ML data pipelines.
AI/ML Expertise: Solid knowledge of RAG architectures, LLM fine-tuning, intent classification, and recommendation engines - applying ML algorithms and Model-Based Design (including MCP tooling and structured agentic execution paths) to multi-agent orchestration, contextual reasoning, and workflow optimization.
Data Analysis & Feature Engineering: Experience leading EDA on multi-tenant execution logs to validate prompt/response accuracy and optimize tool usage, paired with strong feature engineering skills for vector embeddings, feature stores, and multi-tenant data isolation.
Model Lifecycle: Experience leading model building (foundation model adaptation, prompt engineering, fine-tuning, low-latency inference) and deep understanding of the model development lifecycle, including MLOps platforms (Kubeflow, MLflow, Airflow, SageMaker) for monitoring, latency tracking, and retraining at scale.
Technical Stack: Strong proficiency in Python and ML libraries (PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, LangChain, LangSmith, DSPy), with experience deploying scalable ML systems in cloud-native production using Docker, Kubernetes, gRPC/REST APIs, and CI/CD under strict high-availability (99.9% uptime) and low-latency SLAs.
Team Collaboration: Strong ability to mentor team members, drive cross-functional technical alignment, draft system design specs/model cards, and communicate technical and governance decisions.
Education: Bachelor's in Computer Science, Data Science, Machine Learning, Applied Mathematics, Statistics, or Engineering; 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: $192,000 USD - $288,000 USD

Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 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.

About employer

More about this job

Skills

ML
Business processes
Workday
Apache Kafka
Apache Spark
LangChain
Machine learning
Microservices
Leadership
Data engineering
Regulatory compliance
Deep learning
Natural language processing
PyTorch
TensorFlow
Scikit-learn
Oracle Java
Go
Scala
C++
Process data
Workflow
Data analysis
EDA
Kubeflow
Mlflow
Apache Airflow
Python
NumPy
Docker
Kubernetes
API development
CI/CD
Collaboration
Computer science
Statistics

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