# Sr ML Engineer, Business Process Optimization at Workday

Workday is hiring a Sr ML Engineer, Business Process Optimization. It pays $192k-$288k a year and Level rates it Builds AI ●●●●; you can [apply on Workday](https://jobsbylevel.com/go/b76507db-064a-4cd7-a031-3b33761ca7af?utm_medium=ai-agent).

AI Level 4, AI centrality 96 out of 100. USA, CA, Pleasanton.

## Details

- Company: [Workday](https://jobsbylevel.com/companies/workday)
- AI level: AI Level 4 (score 96 out of 100)
- Location: USA, CA, Pleasanton
- Salary: $192k-$288k
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/b76507db-064a-4cd7-a031-3b33761ca7af?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-ml-engineer-business-process-optimization-at-workday-c5354e

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/sr-ml-engineer-business-process-optimization-at-workday-c5354e

## 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 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

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Source: https://jobsbylevel.com/jobs/sr-ml-engineer-business-process-optimization-at-workday-c5354e

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