Senior AI Security Engineer II

Role overview Lead hands-on security engineering for AI tools and systems, covering workforce platforms as well as AI applications and agent-based workflows built by engineering teams. The role combines program design, technical controls, and adversarial assessment, with close partnership across security, infrastructure, data science, and product engineering.

Responsibilities - Build a layered AI security program covering data classification, governance, monitoring, incident response, exfiltration prevention, and agent identity. - Evaluate and integrate AI security tools into security operations, engineering workflows, and CI/CD pipelines. - Set secure deployment patterns for Model Context Protocol servers and authentication standards for agents communicating with one another. - Establish cloud guardrails for AI workloads and define controls for protected health and personal information. - Red-team AI applications and agent workflows for prompt attacks, privilege escalation, tool misuse, and unintended data access. - Develop automated testing and validation for AI applications and pipelines.

Requirements - At least seven years of security engineering experience and a sound understanding of software engineering practices. - Familiarity with AI risk and governance frameworks such as NIST AI RMF and ISO 42001. - Python and GitHub skills for building security tools, evaluation harnesses, and automated tests. - Practical experience with enterprise AI platforms. - Strong written and verbal communication skills.

Benefits and work setup The role offers cross-functional collaboration and the chance to develop security practices for AI systems used in a healthcare-related setting. The source describes a learning-oriented, collaborative environment and an equal opportunity hiring approach.