Principal Application Security Engineer – AI & Agentic Systems
Work At Home-New York, United States
USD 144K-288K Senior-level Full Time
Tasks
- Architect and review secure designs for LLM and agentic systems
- Define identity authorization data access and observability controls for agentic environments
- Establish secure design patterns for AI agent frameworks
- Evaluate and guide adoption of AI security tools
- Lead advanced security testing for AI enabled systems
- Lead application and AI security policy enforcement
- Mentor engineers to elevate security maturity
- Perform threat modeling for agent workflows
- Provide incident response leadership for application and AI misuse data exposure and autonomous failures
- Translate operational learnings into improved security architecture and controls
Perks/Benefits
Skills/Tech-stack
AWS | Abuse prevention | Access Controls | Agentic Systems | Application Security | Authentication | Authorization | Azure | CI/CD | Cloud platform | Containerization | Data access | Data access controls | Data leakage | Generative AI | Google Cloud | Google Cloud Platform | LLM security | Machine Learning | Microservices | Observability | Prompt injection | Public Cloud | RAG | Risk Assessment | Secure Design | Security Testing | Serverless | Threat modeling | Tool use | Vulnerability Management
Education
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