Principle Security Engineer
Core
Building and operationalizing AI risk, security, and compliance capabilities within a regulated financial services environment.
Role type
Principal Security Engineer (AI Governance & Risk)
Builds
Auditable AI risk controls, threat models, and governance programs for AI/ML systems.
Domain
Financial Services / AI Security & Governance
Deliverable
production ML models
Required skills
AI risk management frameworks, third-party risk management, AI threat modeling, adversarial testing, regulatory compliance, vulnerability management, policy development, cross-functional collaboration
Preferred skills
GRC platforms, AI security certifications, cloud AI/ML platforms, model cards and data lineage tools, red-team/purple-team exercises
Technologies
MITRE ATLAS, MITRE ATT&CK, NIST AI RMF, OWASP Top 10 for LLMs, AWS Bedrock, Archer, ServiceNow GRC
Responsibilities
Operationalize AI governance controls and audit evidence collection; Lead third-party AI/ML risk management and vendor due diligence; Conduct AI risk and compliance assessments; Design and execute AI/ML threat models; Coordinate adversarial testing and penetration testing; Integrate AI vulnerabilities into enterprise vulnerability management; Support identification of unsanctioned AI usage; Partner with cross-functional teams to embed AI risk requirements; Develop AI risk standards and procedures. (via careerplan.io/jobs/d7c8bb70-522b-4dc0-9ff5-588cc0a779e7-principle-security-engineer-at-jobgether)
Seniority
Principal, strategy & mentorship
