Principal Application Security Engineer – AI & Agentic Systems
Work At Home-New York, United States
USD 144K-288K Senior-level Full Time
Tasks
- Adopt AI security tools and validate protections
- Advise leadership on AI security implications and strategy
- Architect secure LLM and agentic system designs
- Conduct advanced security testing for AI systems
- Define identity authorization data access and observability controls
- Define secure design patterns for AI agent frameworks
- Enforce secure design with security-by-design
- Improve security architecture and system resilience
- Lead application and AI security policies and standards
- Lead incident response for application and AI misuse
- Lead secure design reviews for AI pipelines
- Manage prompt injection and data leakage risks
- Mentor engineers to elevate security maturity
- Perform threat modeling for agent workflows
- Review secure designs for RAG pipelines
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid time off
- Retirement savings
- Vision insurance
- Wellness programs
Skills/Tech-stack
AI Security | AWS | Access Management | Agentic Systems | Application Security | Authorization | Azure | C# | CI/CD | Cloud platform | Compliance | Containerization | Data leakage | Foundation Models | Go | Google Cloud | Google Cloud Platform | Identity and Access Management | Identity and access | Incident Response | Java | JavaScript | LLM | Microservices | Observability | Prompt injection | Python | RAG | Secure Architecture | Secure Coding | Secure Design | Security Testing | Security controls | Serverless | Threat modeling | Tool use | Vulnerability Management
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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