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!

We are hiring a Senior AI Security Engineer II to lead the security, governance, and risk management of AI at BlinkRx, from enterprise AI tools used by our workforce to the agentic AI pipelines being built by our engineering teams. This is an individual contributor role with high organizational visibility and impact.

You will architect and operate a comprehensive AI security program, drive policy and technical controls across the AI lifecycle, lead red-teaming and adversarial testing of AI systems, and serve as the internal expert on AI-specific threats including prompt injection, model inversion, data poisoning, and agentic identity abuse. 

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.

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.