Back to Jobs
Recently postedTechnology

AI Cybersecurity Architect – Agentic AI & MCP

ARK Infotech SpectrumUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
AWSOWASPJavaLLMPythonAzureLangChainLangGraph

Job description

Role: AI Cybersecurity Architect – Agentic AI & MCP

Location: Plano, TX (Remote)

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

Similar jobs