AI Security Architect
Mohammed WaseeRemoteMIDPosted 3h ago
PythonJavaRCAgentic AIModel Context ProtocolAI orchestrationCloud architectureSoftware developmentCybersecurityLangGraphLangChainCrewAI/OpenClawThreat detectionAnomaly detectionThreat intelligenceRisk scoringAI-specific threat modelingAzureAWSNIST AI Risk Management FrameworkISO/IEC 42001OWASP Top 10 for LLM Applications
About the Role
We are looking for a hands-on AI Security Architect to design and develop advanced AI security architectures and solutions for identifying, predicting, and preventing AI-specific threats.
Key Responsibilities
• Design and optimize AI security architectures, threat models, tools, and solutions
• Build solutions for AI threat identification, prediction, monitoring, and prevention
• Design and secure Agentic AI and MCP architectures
• Apply AI/ML techniques to improve threat detection, anomaly detection, monitoring, and risk scoring
• Integrate AI security capabilities with enterprise and cloud architectures
• Analyze security incidents and risk data to continuously improve AI security methodologies
• Provide technical leadership and mentorship to engineering teams
• Ensure solutions align with established AI security, governance, and cybersecurity standards
• Evaluate emerging technologies and security risks related to AI and agentic systems
Requirements
• 8+ years of hands-on software development experience using Python, Java, R, C, or similar languages
• 5+ years of experience in AI/cloud architecture and cybersecurity
• Strong hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI/OpenClaw, and AI orchestration
• Strong experience with Model Context Protocol (MCP) architecture and securing agentic AI systems
• Hands-on expertise in AI security, including threat detection, anomaly detection, threat intelligence, risk scoring, and AI-specific threat modeling
• 5+ years of Azure or AWS cloud-native architecture and services experience
• Strong knowledge of enterprise, cloud-native, and AI architecture patterns
• Knowledge of AI security/governance frameworks such as NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, and OWASP Top 10 for LLM Applications
• Ability to design and integrate AI security tools and solutions across enterprise AI architectures
• Strong technical leadership, communication, and cross-functional collaboration skills