AI Security Engineer I
Core
Securing AI, ML, and Generative AI applications, models, and data across the organization through security assessments, threat modeling, and control implementation.
Role type
Junior IC AI Security Engineer
Builds
Secure AI-enabled applications, models, and services aligned with organizational policies and regulatory requirements
Domain
Healthcare technology + AI/ML security
Deliverable
production ML models
Required skills
AI/ML concepts, LLMs, Generative AI security risks, prompt injection, model abuse, data poisoning, adversarial attacks, cloud security principles, EDR, SIEM, IAM, security monitoring tools
Preferred skills
MLOps platforms, cloud-native AI services (Azure OpenAI, AWS Bedrock, SageMaker), AI governance frameworks (NIST AI RMF, MITRE ATLAS, OWASP Top 10 for LLM), Python/PowerShell scripting, industry certifications (Security+, SC-900, AZ-900, AI-900, SC-200, CCSK, GIAC)
Technologies
Azure, AWS, Google Cloud, Azure OpenAI, Azure AI Services, Anthropic Claude, AWS Bedrock, Amazon SageMaker, Google Vertex AI, EDR, SIEM, vulnerability management tools
Responsibilities
Implement and maintain security controls for AI/ML/GenAI solutions; conduct security assessments of AI-enabled applications and models; participate in threat modeling for AI systems; monitor emerging AI security risks and trends; test and validate AI security controls; collaborate with cross-functional teams on security standards and compliance; support governance initiatives including model inventory and risk assessments; evaluate and implement security technologies for AI systems and data pipelines; assist in security investigations and incident response; participate in disaster recovery testing for AI systems; document findings and remediation activities.
Seniority
Junior, 1-3 years experience
