Quick overview
Job description
Role: AI Security Architect – Agentic AI & MCP
Location: Plano,TX ( Hybrid)
Type : Fulltime Permanent
Job Summary
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.
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:
o NIST AI Risk Management Framework (AI RMF)
o ISO/IEC 42001
o 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
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
Preferred
• Published research, patents, or demonstrated thought leadership in AI security
• Experience leading cross-functional technical teams
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