Overview
Lead AI security for BlinkRx, covering governance, risk management, and adversarial testing for enterprise AI tools and agentic AI pipelines.
What you'll do
- Design and implement a multi-layer AI security framework across the AI lifecycle.
- Evaluate, deploy, and operate AI security tooling and integrate it into security operations.
- Architect secure MCP server deployments and define agent-to-agent authentication standards.
- Establish AWS guardrails for AI workloads with Cloud Security.
- Define and enforce PHI/PII handling controls for AI systems.
- Lead red-team assessments and adversarial testing for AI and agentic workflows.
- Integrate AI security controls into CI/CD and build automated AI security testing pipelines.
What you'll need
- 7+ years of experience in Security Engineering with knowledge 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 and ISO 42001.
- GitHub and Python skills for security tooling, evaluation harnesses, and automated testing.
- Experience with enterprise AI platforms such as Claude Enterprise, OpenAI Enterprise, and Cursor.
- Excellent written and verbal communication skills.
Details
- Individual contributor role with high organizational visibility and impact.
Read the full description and apply on the company’s own careers page.