AI Security Engineer
Core
Design, build, and automate security controls for AI/ML platforms, models, agents, and pipelines to enable safe enterprise-scale AI development and deployment.
Role type
Senior IC AI Security Engineer
Builds
Secure AI/ML platforms, MLOps/LLMOps pipelines, and agentic AI workflows
Domain
Healthcare technology / Artificial Intelligence / Cybersecurity
Deliverable
production ML models
Required skills
AI/ML lifecycle security, threat modeling, cloud security (AWS), container security (Docker/Kubernetes), security automation, API security, secrets management, cryptography, AI risk frameworks (OWASP, MITRE ATLAS, NIST)
Preferred skills
Generative AI security (RAG, prompt injection), agentic AI workflows, MLOps platforms (MLflow, SageMaker), data protection techniques
Technologies
AWS, Docker, Kubernetes, Terraform, n8n, Databricks Agent Bricks, Amazon Bedrock Agents, PyTorch, TensorFlow, LangChain, MLflow, SageMaker
Responsibilities
Design and implement AI security controls for applications and infrastructure; Deploy security tooling and automation into engineering workflows; Integrate security into MLOps/LLMOps/DevSecOps pipelines; Threat model AI systems and translate risks into mitigations; Secure generative AI and agentic AI systems including RAG and vector databases; Implement infrastructure as code for security controls; Deploy monitoring for anomalous AI activity; Build AI security standards and technical guidance.
Seniority
Senior, hands-on IC