AI Security Architect: Agentic AI & MCP Leader

Ethereum Technologies; San Francisco (CA); On-site; USD 96,000 - 129,000; Full time

Job summary

Ethereum Technologies is seeking an AI Security Architect to design and implement advanced security architectures for agentic AI systems. The role requires hands-on expertise in AI security, MCP, and cloud-native architectures, with leadership responsibilities across engineering teams.

The candidate will lead threat modeling, risk scoring, and anomaly detection efforts, ensuring alignment with AI governance standards and enterprise security practices.

Qualifications

• 8+ years of hands-on software development with Python/Java/R/C or similar languages.
• 5+ years of AI/cloud architecture and cybersecurity.

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 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.

Skills

Software development

Python

Java

R

C

AI/cloud architecture

Cybersecurity

Agentic AI

Azure/AWS cloud

Communication

Leadership

Tools

LangGraph

LangChain

CrewAI/OpenClaw

AI orchestration

MCP architecture

Job description

Ethereum Technologies is seeking an AI Security Architect to design and implement advanced security architectures for agentic AI systems. The role requires hands-on expertise in AI security, MCP, and cloud-native architectures, with leadership responsibilities across engineering teams.

The candidate will lead threat modeling, risk scoring, and anomaly detection efforts, ensuring alignment with AI governance standards and enterprise security practices.