Staff AI Security Engineer

Company Overview:

Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.

BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock.

We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!

Responsibilities:

• 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.

Qualifications:

• 7+ years of experience in Security Engineering with a sound understanding of the Software Engineering process.
• Hands-on experience with adversarial AI techniques including prompt injection, model extraction, data poisoning, and evasion attacks.
• Understanding of AI security frameworks: NIST AI RMF, ISO 42001.
• GitHub and Python skills for security tooling, evaluation harnesses, and automated testing of AI systems.
• Demonstrated experience with Enterprise AI platforms such as Claude Enterprise, OpenAI Enterprise, Cursor, etc.
• Excellent communication and collaboration skills.