1 day ago
Base Salary
$191k - $342k/yr
Responsibilities
- Architect and implement next-generation AI platforms and autonomous agent frameworks.
- Build agentic capabilities including tool calling, multi-agent workflows, long-range planning, reasoning frameworks, and human-in-the-loop integrations.
- Develop secure, high-throughput ML services, multi-tenant runtimes, low-latency inference systems, and event-driven data pipelines.
- Establish MLOps practices covering automation, observability, evaluation, model monitoring, privacy, anonymization, and production resilience.
- Lead model building, fine-tuning, deployment, retraining, and management of drift and latency at scale.
- Provide technical and strategic leadership across software engineering, product, data engineering, SRE, and legal/compliance teams.
- Drive data strategy, governance, mentoring, cross-functional pod leadership, and executive communication.
Requirements
- 12+ years of ML development and R&D leadership, including 8+ years with advanced ML methodologies, distributed frameworks, and cloud platforms.
- 6+ years building and hosting production ML services, microservices, and high-throughput data pipelines using Java, Go, Scala, or Python.
- 4+ years working with LLMs, generative AI, RAG pipelines, and autonomous agent frameworks in enterprise applications.
- Expertise in Kafka, Spark or Flink, ClickHouse, Iceberg, high-dimensional embeddings, vector databases, and data isolation.
- Deep knowledge of deep learning, LLM orchestration, RAG, agentic systems, model algorithms, MCP integrations, and tool-use frameworks.
- Mastery of Python and the ML ecosystem, including PyTorch, TensorFlow, LangChain, LangSmith, LlamaIndex, NumPy, Pandas, and Scikit-learn.
- Experience deploying production systems with Kubernetes, Docker, PostgreSQL, Redis, Kafka, and AWS, GCP, or Azure.
- Experience leading model building, fine-tuning, deployment, automated retraining, monitoring, and lifecycle management.
- Exceptional collaboration, mentoring, sprint-planning, technical leadership, governance, and executive communication skills.
- Bachelor's degree in computer science, data science, statistics, mathematics, engineering, or a related field, or equivalent experience; master's or PhD strongly preferred.
Benefits
- Annualized base salary is $228,000-$342,000 for Pleasanton, California, and $190,600-$342,000 for additional US locations; the role may also be eligible for bonus and annual refresh stock grants.
- Flex Work requires at least 50% of time each quarter in the office or in the field with customers, prospects, and partners.
- Workday offers comprehensive benefits, reasonable accommodations, equal employment opportunity, and a fair-chance employment process.
Tech Stack
Apache FlinkApache KafkaApache SparkAWSAzureClickHouseDockerGoGoogle Cloud PlatformJavaKubernetesNumPyPandasPostgreSQLPythonPyTorchRedisScalascikit-learnTensorFlow
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.