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Metro Staff security role with broad AI/security requirements and recognizable employer increases competition.
Highly specialized agentic security, LLM orchestration, and IAM experience limits cross-industry transferability.
Explicit 6+ years, Staff title, and mandatory niche LLM security and IAM skills create strict shortlisting.
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Design and implement multi-agent orchestration layers for autonomous security tasks across the enterprise.
Lead strategic development of self-healing, autonomous vulnerability eradication systems and secure AI infrastructure.
Partner cross-functionally to drive long-term agentic security engineering strategy and mentor teams on autonomous system security.
6+ years of hands-on technical security experience with complex distributed software development in Python or Go at Staff level.
Deep, production-level experience with agent frameworks like LangGraph, CrewAI, or AutoGPT implementing stateful multi-turn agentic loops.
Strong knowledge of AI security risks and defenses (e.g., OWASP LLM Top 10, Semantic Firewalls, LLM Guardrails).
Experience with cloud-native architectures (AWS/Kubernetes) for secure and scalable autonomous execution environments.
Proven technical leadership influencing engineering culture towards autonomous security solutions beyond traditional scanning.
Expertise in designing identity and access management systems for autonomous, non-human agents (e.g., service mesh, workload identity).
Experienced in embedding AI agents within CI/CD pipelines to automate complex security reasoning and dynamic threat modeling.