Role: AI Cybersecurity Architect – Agentic AI & MCP
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
