Principal ML Engineer, Admin Central
Core
Lead architecture and implementation of Workday's next-generation AI platforms and autonomous agent frameworks, transforming research into production-ready systems handling tens of millions of daily requests.
Role type
Principal ML Engineer (Agentic AI & Infrastructure)
Builds
Mission-critical distributed systems, high-availability usage pipelines, multi-agent orchestration layers, and event-driven data flows for enterprise billing integrity.
Domain
Enterprise SaaS, Generative AI, Agentic Systems, Cloud Infrastructure
Deliverable
production ML models
Required skills
LLM orchestration, multi-agent workflows, distributed systems, MLOps, event-driven architecture, vector database management, model fine-tuning, Kubernetes, Python
Preferred skills
Deep learning, RAG pipelines, autonomous agent frameworks, high-throughput streaming, data governance strategies
Technologies
Python, AWS, Kubernetes, Kafka, Spark, Flink, ClickHouse, Iceberg, PyTorch, TensorFlow, LangChain, LangSmith, LlamaIndex, PostgreSQL, Redis
Responsibilities
Design and implement agentic capabilities including tool calling and human-in-the-loop integrations; Architect multi-tenant runtimes for low-latency inference; Establish end-to-end MLOps standards including CI/CD and model monitoring; Partner with stakeholders to translate business needs into scalable technical designs.
Seniority
Principal, hands-on IC with strategic leadership
