Job Title: AI Security Architect – Agentic AI & MCP

Location: San Francisco, CA

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:
NIST AI Risk Management Framework (AI RMF)

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

Equal Opportunity Employer

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.

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