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AI Security Architect

shaik kareemUnited StatesSENIORPosted 4h ago
PythonJavaRCAgentic AIModel Context ProtocolAI orchestrationCloud architectureSoftware developmentCybersecurityLangGraphLangChainCrewAI/OpenClawAzureAWSNIST 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. This role requires strong expertise in Agentic AI, Model Context Protocol (MCP), AI orchestration, cloud architecture, software development, and cybersecurity. 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

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