Shape identity and AI security: Review and improve policies, standards, reference architectures and control requirements in line with the threat landscape, regulatory obligations and industry practices.
Partner with data engineering and MLOps teams to implement a robust data architecture that ensures enterprise data is securely stored and managed effectively, and data governance solutions, metrics, reports and dashboards to improve efficiency, data accuracy and consistency.
Build and operate shared AI platforms: a multi-provider LLM gateway, an agent orchestration layer, an evaluation and monitoring layer, and a staff assistant.