AI Security Engineer

New

Skills

Adversarial Testing AI Security Cloud Security Data Protection Go Programming Kubernetes MLOps ML Security Operations Python Programming Threat Modeling

The Staff AI Security Engineer will be responsible for designing and implementing security controls for AI and ML infrastructure, ensuring the integrity and security of data throughout ML pipelines and inference.

Key Responsibilities
  • Design security controls for AI/ML infrastructure including artifacts, data lineage, signing, and MLSecOps.
  • Develop AI security policies, standards, and threat models across ML pipelines and inference.
  • Build guardrails for agentic workflows, ensuring access control, validation, sandboxing, and auditability.
  • Lead the adoption of secure AI tools, evaluate vendors, and define prompt/data policies.
  • Collaborate with security and IT teams on AI-related risks including endpoint posture, IAM, and SaaS security.
  • Conduct threat modeling and adversarial testing while building an AI threat taxonomy.
Required Skills & Qualifications
  • 10+ years of experience in security engineering (cloud, application, or infrastructure).
  • Experience with AI/ML systems including LLMs, training pipelines, inference systems, or MLOps.
  • Strong coding skills in Go, Python, or similar programming languages.
  • Familiarity with Kubernetes, containerized environments, and cloud platforms (AWS, GCP, Azure).
  • Understanding of AI-specific threats such as prompt injection, data leakage, model misuse, and supply chain risks.
  • Proven track record of driving cross-team technical initiatives and influencing architectural decisions at the organizational level.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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