ETIC, Cybersecurity - AI Engineer - Manager
Core
Lead end-to-end delivery of AI-in-Cyber initiatives, including threat intelligence automation, incident response augmentation, and establishing governance frameworks for responsible AI use in SOC environments.
Role type
Manager, AI-in-Cybersecurity Strategy & Delivery
Builds
AI-augmented cyber defense strategies, automated threat detection workflows, and secure AI governance frameworks for SOC operations.
Domain
Cybersecurity, Artificial Intelligence, Risk Management
Deliverable
production ML models | infrastructure | client delivery
Required skills
Python, data engineering, Git-based CI/CD, LLM/RAG application development, prompt engineering, retrieval evaluation, cybersecurity strategy, risk policy development, stakeholder advisory
Preferred skills
Experience with Microsoft, Google, or Palo Alto Networks AI/security tracks, NIST AI RMF implementation, ISO/IEC 42001/23894 compliance, OWASP LLM Top 10 knowledge
Technologies
Python, Git, Azure Data Factory, MITRE ATT&CK, NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, ENISA AI Threat Landscape, OWASP Top 10 for LLM Applications, DLP controls, private networking, managed encryption keys
Responsibilities
Lead end-to-end delivery of AI-in-Cyber initiatives from assessment to optimization; Drive business development including lead generation, solution design, and contracting; Define enterprise strategies for AI-augmented cyber defense; Develop and enforce policies for AI-assisted cybersecurity operations; Advise CISOs and executives on AI-in-Cyber strategy and implementation
Seniority
Manager, strategic leadership & delivery