Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Niche agentic AI plus cybersecurity skills lower applicant density despite a well-known employer.
Strong cybersecurity and agentic AI domain requirements limit cross-industry transferability.
Explicit 6–10 years plus one year agentic AI and specific cybersecurity requirements enforces strict filters.
Design, develop, and deploy AI-driven cybersecurity solutions using LLMs, Agentic AI frameworks, and machine learning.
Build multi-agent autonomous systems for security workflow automation and develop intelligent assistants for security teams.
Implement Retrieval-Augmented Generation architectures, integrate AI agents with enterprise security tools, and ensure secure-by-design AI applications.
6-10 years overall experience including software engineering, cybersecurity engineering, cloud security, and at least 1 year building Agentic AI solutions.
Bachelor's degree in Computer Science, Information Security, Software Engineering, AI, Data Science, or related technical discipline.
Strong programming skills in Python, Java, Go or similar; experience with AI frameworks (LangChain, LangGraph, AutoGen etc.), LLM ecosystems (OpenAI, Azure OpenAI, etc.), vector databases, cloud platforms (Azure, AWS, GCP), and DevSecOps practices.
Work Requirement: Hybrid work model with expectation of 4 days in office weekly; standard business hours with flexibility for global stakeholder support.
Deep understanding of cybersecurity domains such as identity security, cloud security, threat detection, and vulnerability management combined with AI engineering expertise.
Experience working cross-functionally with security architects, threat detection, cloud security engineers, data scientists, and platform teams to operationalize AI security capabilities.
Strong execution orientation with ability to translate complex security challenges into scalable AI and autonomous agent solutions under fast-paced conditions.