Job Description
Role Summary We are seeking a hands-on Principal AI Engineer to design, build and help productionise agentic AI systems for cybersecurity use cases. This is an AI engineering role applied to cybersecurity . The role will define and build the agentic AI harness, control plane, model evaluation framework, AI-to-system interface layer, memory and knowledge architecture, guardrails, observability model and production standards needed to deploy AI agents safely across cyber functions. Cybersecurity knowledge is useful, but not the primary requirement. The core requirement is deep experience building production-grade LLM, agentic AI, ML, automation or platform systems. Cyber domain expertise will be provided by SOC, incident response, vulnerability management, AppSec, cloud security, IAM, GRC, threat intelligence, red-team and security engineering SMEs. The candidate should also have prior experience operating or supporting production systems, so they can design systems that are reliable, observable, auditable, recoverable and supportable. Day-to-day operations may sit with a separate AI platform, engineering or operations team. Scope of Role The role will support agentic AI capabilities across cybersecurity, including security operations, incident response, threat intelligence, detection engineering, vulnerability management, application security, cloud security, identity and access management, GRC, control testing, red teaming, purple teaming, security engineering, email security, data security and executive cyber reporting. The role is expected to turn AI agents and frontier models from isolated experiments into safe, reusable and measurable operational capabilities. Required Experience 1. Strong hands-on experience building production-grade LLM, agentic AI, ML, automation or platform systems. 2. Deep understanding of agent architecture, orchestration frameworks, tool calling, memory design, RAG, model routing and multi-agent workflows. 3. Experience with frontier mode
