Principal Application Security Engineer – AI & Agentic Systems
USD 144K-288K Senior-level Full Time
Tasks
- Architect and review secure LLM and agentic workflows
- Conduct advanced security testing and risk assessments
- Contribute to AI security research evaluation and roadmap
- Define secure controls for identity authorization data access and observability
- Embed security-by-design
- Establish secure design patterns for AI agents
- Guide adoption of AI security tools
- Lead AI security risk awareness
- Lead application and AI security policy enforcement
- Lead incident response for application and AI misuse data exposure and autonomous failures
- Mentor engineers to improve security maturity
- Perform threat modeling of agent workflows
- Translate operational learnings into security improvements
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid time off
- Retirement savings
- Vision insurance
- Wellness programs
Skills/Tech-stack
AI Security | AWS | Abuse and Misuse Analysis | Access Management | Agentic Systems | Application Security | Authorization | Azure | C# | CI/CD | Cloud platform | Containerization | Data leakage | Generative AI | Go | Google Cloud | Google Cloud Platform | Identity and Access Management | Identity and access | Incident Response | Java | JavaScript | LLM | Microservice Architecture | Microservices | Observability | Prompt injection | Python | RAG | Secure Coding | Secure Design | Security Testing | Serverless | Threat modeling | Vulnerability Management
Education
Bachelor of Engineering | Bachelor of Science | High School Diploma
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