Lead Cybersecurity - Insider Risk Engineer
Core
Design, develop, and deploy AI-enabled solutions (GenAI, LLMs, RAG) to improve security operations, automate incident handling, and enhance business workflows within a cybersecurity context.
Role type
Lead Cybersecurity Engineer (AI/ML focus)
Builds
AI prototypes, data pipelines, LLM workflows, and security automation services
Domain
Cybersecurity + Applied AI/GenAI
Deliverable
production ML models | product features
Required skills
Python, data structures, APIs, SQL/pandas, ML basics, LLM application patterns, basic MLOps
Preferred skills
RAG/vector databases, prompt engineering, agentic workflows, output evaluation/red-teaming, cloud services (AWS/Azure/GCP), containerization (Docker/Kubernetes), security fundamentals
Technologies
PyTorch, TensorFlow, scikit-learn, Splunk, Sentinel, Docker, Kubernetes, AWS, Azure, GCP
Responsibilities
Build AI prototypes for text classification, summarization, and entity extraction; develop and maintain data pipelines for AI use cases; create and iterate on LLM prompts and RAG patterns; implement evaluation methods for AI outputs; support model lifecycle tasks including versioning and deployment; integrate AI components into existing applications via APIs; document solutions and define success metrics for AI features
Seniority
Senior, hands-on IC with leadership responsibilities
