Role Overview

We are looking for an experienced

Lead AI Agent Security / Security Architect to provide architecture leadership, technical governance, stakeholder management, design authority, escalation support, and quality assurance for an enterprise AI Agent Security capability.

Key Responsibilities
Own AI Agent Security architecture, control patterns, trust boundaries, and technical roadmap.
Lead architecture reviews, technical governance, risk decisions, exception handling, and production-change quality gates.
Design security solutions across endpoint, data center, cloud, and Kubernetes environments.
Define and implement microsegmentation, workload security, telemetry, monitoring, and enforcement strategies.
Work with

Cisco Hypershield, Cisco DefenseClaw, Cisco AI Defense

, and related enterprise security platforms.
Define AI-agent threat scenarios and detection priorities with SOC and cyber-defense teams.
Lead integrations with

SIEM, IAM, ITSM, APIs, telemetry pipelines, and Infrastructure as Code

.
Drive technical escalations, defect resolution, resilience/rollback strategies, and operational acceptance.
Mentor senior engineers and ensure quality of configurations, detections, testing,



runbooks, and transition deliverables.

Required Expertise
Expert-level enterprise network security and microsegmentation.
Robust experience with workload security and segmentation architecture.
Advanced

Cloud & Kubernetes security experience.
Advanced detection engineering and SOC architecture experience.
Solid security architecture, governance, risk, and stakeholder management skills.
Experience with SIEM, IAM, ITSM, APIs, telemetry, and IaC integrations.
Robust understanding of AI/LLM agent security and associated risks.

Preferred / Differentiating Skills
Cisco Hypershield / Cisco AI Defense.
Cisco Secure Workload, Cilium/eBPF, Illumio, Guardicore, or Palo Alto.
AI/LLM security architecture, agentic threat modeling, AI red teaming.
NIST AI RMF / NIST CSF.
Experience in global banking or other regulated enterprises.
CISSP, CCNP Security, CKA/CKS, or cloud security certifications.

Candidates should be able to own architecture and design decisions while remaining hands-on with complex policy, telemetry, integration, and security challenges.

📌 Lead Ai Security Engineer Bengaluru
🏢 Arokee
📍 Bengaluru