The ideal candidate combines deep security engineering expertise with practical knowledge of modern AI systems, cloud-native architectures, and software engineering practices. This individual will partner closely with Engineering, Infrastructure, Data Science, and Product Security teams to ensure AI technologies are deployed securely, responsibly, and at scale.

Design and implement a multi-layer AI security framework spanning data classification, detection and response, exfiltration prevention, governance, adversarial testing, and agentic identity management.

Evaluate, deploy, and operate AI-specific security tooling and integrate them into BlinkRx's security operations.

Architect secure MCP (Model Context Protocol) server deployments and define agent-to-agent authentication standards for agentic AI workflows.

Partner with Cloud Security to establish guardrails in AWS for AI workloads.

Define and enforce PHI/PII handling controls for all AI systems.

Design and execute AI red-team assessments against AI applications

Integrate AI security controls into CI/CD pipelines and engineering workflows.

Develop automated testing and validation for AI applications and AI pipelines.

Build and operate an AI security testing pipeline using tools.

Perform adversarial testing of agentic AI workflows for privilege escalation, tool misuse, and unintended data access patterns.

Senior AI Security Engineer II

Responsibilities

Qualification

Required

Company

Blink Health

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