Stanford Medicine

The Senior Data & AI Solutions Engineer designs and deploys AI, machine learning, BI, and data solutions for clinical, laboratory, and operational workflows at Stanford Blood Center. The role combines predictive analytics, LLM applications, enterprise data architecture, ETL, and process optimization to improve blood production, testing, resource allocation, and patient outcomes.

Senior ServiceNow Developer responsible for designing, configuring, developing, integrating, and supporting enterprise-scale ServiceNow ITSM solutions. The role partners with IT leaders to automate workflows, improve platform capabilities, and deliver solutions aligned with business needs.

Lead the development of Stanford Health Care’s AI platform by building scalable data pipelines, infrastructure, compute frameworks, and MLOps capabilities for healthcare machine learning solutions. The role partners with data scientists, researchers, clinical teams, and technology groups to deploy systems that improve patient care and operations.

Clinical Systems Analyst II develops, supports, and improves healthcare applications and integrations at Stanford Health Care. The role combines backend software development, production troubleshooting, data integration, and collaboration with clinical and technical stakeholders.

Build and operate the cloud infrastructure, deployment pipelines, and observability systems powering Stanford Health Care’s production AI/ML and agentic applications. This hands-on MLOps role combines Kubernetes and infrastructure automation with Python-based RAG and multi-agent application development.

Build and enhance the enterprise data platform, infrastructure, and automated processes that enable Stanford Health Care data scientists to deploy and monitor AI/ML solutions. This senior role combines data engineering, cloud platform development, governance, and cross-functional technical leadership.