Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, a related technical field, or equivalent practical experience. 3 years of experience assessing and developing cybersecurity solutions and programs across security domains. 3 years of experience in an intelligence practitioner role. Ability to travel up to 30% of the time. Must possess an active Top Secret/SCI security clearance. Preferred qualifications: Certifications related to specific cloud platforms. Experience implementing industry-leading practices around cyber risks and cloud security for clients’ cloud security frameworks using industry standards. Experience in identifying and mitigating cyber threats from Chinese state-sponsored actors. Experience with cloud governance, with the ability to convey governance principles to cloud computing in terms of policies. Excellent time and project management skills. About...

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 &...