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Senior AI Security Engineer
Blink HealthCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in designing and implementing AI security frameworks, including data classification, detection and response, and governance. Proficient in integrating AI security controls into CI/CD pipelines and collaborating with cross-functional teams to ensure secure AI deployment.
Highest-signal resume keywords
AI Security FrameworksSecurity EngineeringPython ProgrammingAI Red-Team AssessmentsNIST AI RMF
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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 it 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
- Lead security, governance, and risk management of AI at BlinkRx across enterprise AI tools and agentic AI pipelines
- Serve as the internal expert on AI-specific threats including prompt injection, model inversion, data poisoning, and agentic identity abuse
- Partner with Engineering, Infrastructure, Data Science, and Product Security teams to ensure secure, responsible, and scalable AI deployment
Requirements
What you’ll need- 7+ years of experience in Security Engineering with a sound understanding of the Software Engineering process
- 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 written and verbal communication skills
Benefits
Comp & perks- Equal opportunity employer valuing diversity
- SMS or MMS application updates for applicants who provide a phone number and consent to receive text messages
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Security FrameworksSecurity EngineeringData ClassificationDetection And ResponseGovernanceAutomated TestingAdversarial TestingAI WorkflowsPHI/PII HandlingModel Context Protocol
Soft Skills
Excellent Written CommunicationExcellent Verbal Communication
Tools & Technologies
GitHubAWSAI Security ToolingCI/CD PipelinesEnterprise AI Platforms
Certifications & Qualifications
ISO 42001
Industry Keywords
Agentic Identity ManagementData Exfiltration PreventionRisk ManagementPrompt InjectionModel InversionData Poisoning