Senior AI Security Engineer working on emerging security challenges with autonomous AI agents. Researching, designing, and implementing techniques to enhance security for AI systems.
LP
Security AI Engineer – OpenAI & MCP Connectors
Posted via LinkedIn Recruiter (not a company profile)
Posted last week
About the role
- Security AI Engineer role focusing on OpenAI & MCP connector integrations. Responsibilities include secure development, threat modeling, CI/CD automation, and monitoring.
Responsibilities
- Develop and maintain secure integrations for OpenAI connectors and MCP-based tools. Implement authentication, authorization, and encryption for connector communication. Conduct threat modeling for AI connectors (e.g., prompt injection, data leakage). Automate deployment of connectors using CI/CD and Infrastructure-as-Code (Terraform). Monitor connector usage, logs, and anomalies; respond to incidents. Collaborate with security teams and developers to ensure compliance with enterprise standards. Document best practices and create playbooks for secure connector implementation.
Requirements
- AI Connector Integration: Hands-on experience with OpenAI APIs and MCP tools. Security Fundamentals: IAM, OAuth 2.1, JWT, TLS encryption, and compliance frameworks (GDPR, HIPAA). Programming: Strong in Python and JSON-based API integrations. DevSecOps: CI/CD pipelines, IaC (Terraform), containerization (Docker/Kubernetes). Threat Modeling: Familiarity with AI-specific risks and mitigation strategies. Monitoring & Logging: Ability to set up telemetry and alerts for connector security. Communication: Clear documentation and ability to work with cross-functional
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