AI Security Architect - Agentic AI & MCP

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., * 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

The role requires strong expertise in Agentic AI, Model Context Protocol (MCP), AI orchestration, cloud architecture, software development, and cybersecurity. Must-Have Skills

• 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
• 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