AI Security Architect – Agentic AI & MCP

Quantum Technologies. LLC; San Francisco (CA); On-site; USD 113,000 - 129,000; Part time

Job summary

Quantum Technologies. LLC is seeking an hands-on AI Security Architect to design and develop advanced AI security architectures for identifying, predicting, and preventing AI-specific threats.

The role demands expertise in Agentic AI, MCP, AI orchestration, cloud architecture, software development, and cybersecurity. The candidate will lead security design across enterprise AI architectures, implement threat models, and guide engineering teams in secure development practices.

Qualifications

• 8+ years of hands-on software development in Python/Java/R/C or similar
• 5+ years in AI/cloud architecture and cybersecurity
• Hands-on with Agentic AI frameworks (LangGraph, LangChain, CrewAI/OpenClaw) and MCP architecture
• Experience securing agentic AI systems and risk modeling
• 5+ years of Azure or AWS cloud-native services experience
• Knowledge of AI security/governance frameworks such as ISO/IEC 42001 and OWASP Top 10 for LLM apps
• Ability to design and integrate AI security tools across enterprise architectures
• Strong technical leadership and cross-functional collaboration skills

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 to improve threat detection and risk scoring
• Integrate AI security with enterprise and cloud architectures
• Analyze security incidents to improve AI security methodologies
• Provide technical leadership and mentorship to engineering teams
• Ensure solutions align with AI security standards and governance
• Evaluate emerging AI security technologies and risks

Skills

Software development

AI/cloud architecture

Agentic AI

MCP architecture

AI security

Azure/AWS

Security leadership

Tools

LangGraph

LangChain

CrewAI/OpenClaw

MCP tooling

Azure

AWS

Job description

AI Security Architect – Agentic AI & MCP

Location:

Duration:

10Months+ Extension

Domain Exposure:

Aerospace/ Airlines

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Security Architect – Agentic AI & MCP

Duration: 10 Months

Bill Rate: $82/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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

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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.