Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI‑driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize—presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation &...

The Marketing Data Engineer will assist the Director of  Marketing Analytics in advancing the quality, quantity and variety of analytics offerings at Parallel Path. This role is responsible for the overall data foundation that all reporting and insights will be built on. This starts with the tracking of all critical data through custom tagging clients websites. The role will be responsible for optimizing the Parallel Path data warehouse to collect and organize this data across a variety of automated and manual data sources. A strong working knowledge of SQL and Python will be needed to ensure data is organized and flowing through to dashboards efficiently and accurately. The ability to visualize data within dashboards will be the final stage of primary responsibility in this role. Primary Responsibilities - Assisting Director of Marketing Analytics with: Data Warehouse Maintenance: Jointly manage the design, stability and cost of Big Query data warehouse along with...