Principal Application Security Engineer – AI & Agentic Systems
Core
Lead development and enforcement of application and AI security policies, standards, and guardrails, embedding security-by-design across traditional and AI-driven systems.
Role type
Principal Application Security Engineer (AI & Agentic Systems)
Builds
Secure designs for systems leveraging LLMs/foundation models, autonomous and semi-autonomous agents, RAG pipelines, and tool‑using or decision‑making workflows.
Domain
Healthcare technology / Generative AI / Agentic Systems
Deliverable
production ML models | infrastructure
Required skills
Application security, threat modeling, secure design, vulnerability management, Python, Java, JavaScript, C#, Go, AWS, Azure, GCP, containerized architectures, serverless, microservices, AI/ML workload security, generative AI security, agentic workload security, CI/CD integration, compliance frameworks (PCI, HIPAA, NIST, HITRUST, CSA)
Preferred skills
Securing AI agents, RAG pipelines, tool-using LLM systems, leading enterprise-scale security initiatives, AI governance, responsible AI principles, influencing security strategy beyond single teams, security research contributions
Technologies
LLMs, foundation models, RAG pipelines, autonomous agents, semi-autonomous agents, CI/CD pipelines
Responsibilities
Lead advanced security testing and risk assessments for AI-enabled systems, including threat modeling of agent workflows and secure design reviews, Mentor senior and principal engineers to elevate security maturity, Advise senior leadership on AI security implications, architectural decisions, and long-term strategy, Provide senior technical leadership during incidents involving application or AI systems, Establish secure design patterns for AI agent frameworks covering prompt management, tool invocation, memory handling, and autonomy boundaries, Influence engineering and product teams to integrate secure engineering practices and align security with compliance and privacy
Seniority
Principal, strategy & mentorship