What you'll be doing:
Design and deploy AI agent systems for security workflows: PQC transition, attacker-defender frameworks, threat modeling, and automated mitigation deployment.
Build frameworks integrating LLMs, RAG, and automation pipelines with security data sources and engineering workflows.
Partner with product and architecture organizations to embed security requirements early and translate threat landscapes into scalable solutions.
Own the full agentic system lifecycle: architecture, prototyping,productization, testing, and operational stewardship.
What we need to see:
BS, MS, or Ph.D. in Computer Science, Electrical Engineering, or related field, or equivalent experience; Ph.D. preferred.
5+ years of experience.
Proven experience building agentic systems, LLM integrations, RAG pipelines, or workflow orchestration in production.
Strong security foundation: cryptography, PKI, key management, Root of Trust technologies, Cloud security and secure software design.
Excellent Python skills and system design abilities across software, firmware, and cloud environments.
Strong communication skills with the ability to drive cross-functional projects in a high pace organization.
Ways to stand out from the crowd:
Experience with PQC migration, cryptographic inventory, or crypto-agility programs.
Background in security automation: attacker-defender simulation, red-team tooling, SAST/DAST, or vulnerability management.
Data science experience on large-scale networking and security telemetry: anomaly detection, behavioral analytics, or risk scoring.
LLM fine-tuning expertise or open-source/research contributions in AI and security intersection.
