Director of AI Engineering
Core
Lead a new product engineering team to build and scale AI agent products for cybersecurity use cases, detecting and responding to cyber threats.
Role type
Director of Cybersecurity AI Product Development (50% hands-on IC, 50% people management)
Builds
Cybersecurity AI agent products for enterprise environments
Domain
Cybersecurity + Agentic AI
Deliverable
production ML models | product features
Required skills
Agentic AI systems design, LLM application architecture, agent planning and reasoning loops, structured memory, context management, retrieval-augmented generation, tool calling and function orchestration, knowledge management, AI evaluation frameworks, guardrails and safety controls, cloud infrastructure, APIs, CI/CD pipelines, distributed services, secure engineering best practices, identity systems
Preferred skills
Cybersecurity product development, SOC automation tools, SIEM/SOAR integrations, containerization, infrastructure as code, secrets management, autonomous AI agents in production, AI system security, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, vector databases, knowledge graphs, AWS/Azure cloud-native security services, MITRE ATT&CK, NIST Cybersecurity Framework, OWASP, CIS Controls, ISO 27001, AI red teaming, adversarial testing
Technologies
LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, vector databases, knowledge graphs, AWS, Azure
Responsibilities
Hire and lead a new team of ~6 engineers; define team structure and operating model; personally contribute to product architecture, system design, and code review; drive MVP delivery and production hardening; establish AI-native engineering practices and automation; define technical roadmaps and product metrics; partner with product, design, and security teams to solve customer problems.
Seniority
Director, technical leadership with hands-on IC