Description

Top 3 Required Skills 1. Agentic AI & Multi-Agent Security Architecture, secure agent design, agent identity and authorization, least-privilege access, agent-to-agent security 2. LLM & GenAI Security, prompt-injection defense, data leakage prevention, secure RAG, Ontology, Data Gov, model/API security, OWASP LLM security, AI threat modeling 3. MCP, Tool & Cloud Security, Model Context Protocol (MCP) security, tool/API access controls, secrets management, IAM/RBAC, Zero Trust, Azure/AWS security Top 3 Preferred Skills 1. Agentic AI Platforms & Frameworks, Anthropic Claude, LangGraph/LangChain, Semantic Kernel, multi-agent orchestration 2. AI Security Governance & Frameworks, NIST AI RMF, MITRE ATLAS, OWASP Top 10 for LLM Applications, responsible AI, AI risk assessment and governance 3. DevSecOps & AI Security Engineering, secure CI/CD, AI red teaming, adversarial testing, vulnerability management, security monitoring and observability Education Requirements: Bachelor's / Masters degree in Computer Science, Information Technology, Cybersecurity, Engineering, or a related technical discipline

Key Skills

Education

Bachelor's degree