TELECOMMUTE Sr. Artificial Intelligence Security Engineer
Role details
Job location
Tech stack
Job description
Looking for a Sr. AI Security Engineer to lead the establishment, maturation, and oversight of a unified framework for AI security. This role will directly influence enterprise strategy, regulatory exam readiness, risk reduction, and overall data trust. In addition, you will establish, lead, and execute multi-year roadmaps to AI security, drawing upon cross-functional partnerships to deliver AI security posture reviews on a repeatable basis and review new uses of AI as systems are developed., * Execute multi-year roadmaps to data security, drawing upon cross-functional partnerships to deliver data security posture reviews on a repeatable basis and review new data systems as they''re developed.
- Lead the enterprise AI Security program, defining policies, standards, and best practices.
- Adopt and operationalize tools that provide visibility and control over AI access and behaviors.
- Defend against prompt injection, jailbreaking, and indirect prompt injection.
- Advise on methods to filter and guardrail models to prevent the generation of toxic or restricted content.
- Implement methods to reduce the risk of data loss through AI.
- Introduce AI security control points into the CI/CD pipeline, including securing internal codebases and the use of third-party dependencies.
- Assist in the formation of the AI Center of Excellence.
- Assess, build, configure and deploy solutions to detect and react to anomalous model behavior.
- Provide insight into how best to position security operations to detect and respond to AI-specific breaches.
- Contribute to general security architecture and engineering duties undertaken by DTM team.
- Oversee data quality, metadata management, and issue remediation functions to improve data integrity and trust.
- Lead enterprise-wide risk assessments relating to data management, protection, and quality.
- Provide strategic leadership on data-driven transformation initiatives, ensuring governance is built into system modernization, cloud adoption, and digital initiatives.
Requirements
- AI/ML Frameworks and Services: Such as LangChain, PyTorch, and AWS Bedrock / SageMaker, Google Vertex AI
- AI Security Frameworks and Related: NIST AI RMF, MITRE ATLAS, Google SAIF, OWASP Top 10 for LLM Applications
- Security Tools: DSPM, SAST, SCA, DAST, SSPM, NHI Security, etc.
- Development: Python, and general AI development work
- Cloud Security: AWS, Google Cloud Platform
- 5+ years of experience in Cyber Security;
- Strong command of security and security architecture concepts. Deep understanding of AI and relevance to security. Relevant certifications a plus.