AI Security Architect – cyber security

Nexwave; United States; Remoto; USD 180.000 - 260.000; Tempo integral

Resumo da vaga

Nexwave is seeking 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 deep expertise in Agentic AI, MCP, AI orchestration, cloud architecture, software development, and cybersecurity.

The ideal candidate will bring 8+ years of software development, 5+ years in AI/cloud architecture, and strong leadership to collaborate across teams in a remote, long-term

Qualificações

• 8+ years of hands-on software development experience.
• 5+ years of AI/cloud architecture and cybersecurity.
• Hands-on experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI/OpenClaw, and AI orchestration.
• Strong knowledge of Model Context Protocol (MCP) architecture and securing agentic AI systems.
• Hands-on expertise in AI security, including threat detection and risk scoring.
• 5+ years of Azure or AWS cloud-native architecture and services experience.

Conhecimentos

Software development

Programming languages

AI cloud architecture

AI security

Threat detection

Cloud platforms: Azure/AWS

Enterprise architecture

AI governance

Technical leadership

Ferramentas

LangGraph

LangChain

CrewAI/OpenClaw

Descrição da vaga

Title :AI Security Architect - cyber security

Location: REMOTE

Long term

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:
• 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