Threat-model agentic and LLM-powered features end-to-end: data ingress/egress, agent identity, tool-use boundaries, and the unique risks that come with frontier AI work
Build the secure SDLC paved road — secure SDLC guardrails, prompt/agent identity patterns, secrets management, PHI/PII redaction patterns
Embed SAST, DAST, SCA, and infrastructure scanning into CI/CD so security gates are part of the pipeline, not an afterthought
Identify and pilot an AI monitoring tool to fill the gap our current tooling (Zscaler) doesn't cover
Translate existing security policy into safe tool-use patterns for the Artera Primitives team, Systems Engineers, and other AI Builder squads
Partner cross-functionally with DevOps, Systems Engineering, and the AI builder teams — meeting AI Builders and engineers in the middle and finding the secure path forward, not the 'no' path
Own AWS identity and access management patterns, secrets management, and security tooling decisions in our AWS environment. Collaborate with System Engineers / DevOps on implementation.
Apply frameworks like MITRE ATT&CK, MITRE ATLAS, OWASP Top 10, and OWASP LLM Top 10 to architectural decisions.

6–10 years in Application Security, with a hands-on engineering orientation
Demonstrable experience with LLM and agent security — OWASP LLM Top 10, MITRE ATLAS, prompt/output filtering, agent identity, and tool-use risk
You’ve built end-to-end threat models for production platforms and translated them into corrective controls
SAST, DAST, and infrastructure scanning tools in production CI/CD environments
Taking policy, codifying it as infrastructure-as-code (Terraform), and gating CI/CD pipelines on security findings
Significant AWS experience (GCP or Azure background acceptable; AWS is learnable, but cloud depth is required)
Background in regulated environments — healthcare (HIPAA/HITRUST), federal (FedRAMP), or fintech (PCI)
Strong cross-functional communicator;able to partner with engineers and AI builders, find the secure path together.

Full health benefits (medical, dental, and vision)
Flexible spending accounts
Company paid life insurance
Company paid short-term & long-term disability
Company equity
Voluntary benefits
401(k)
Generous time off (company holidays, Winter & Summer break, and flexible time off)
Employee Resource Groups (ERGs)

Senior Application Security Engineer – AI, Product Security

Key skills