Sr AI Security Engineer - Remote

Mergen IT LLC; Plano (TX); Remote; USD 140,000 - 200,000; Full time

Job summary

Mergen IT LLC in Plano, TX is seeking a Sr. AI Security Engineer to lead design and optimization of AI security architectures across cloud and hybrid environments, ensuring predictive threat detection and secure deployment.

You will mentor engineers, align with NIST AI-RMF, ISO42001, and OWASP Top 10 for LLM, and stay ahead of AI cybersecurity trends while collaborating with data scientists and security teams.

Qualifications

• Bachelor's or master's degree in CS, Engineering, or related field.
• 5 years of AI and cloud-focused architecture experience in enterprise.
• 8 years of hands-on software development in Python/Java/C or similar.
• Experience with agentic frameworks (LangGraph, LangChain, Crew, OpenClaw).
• Hands-on AI security technologies experience.
• 5 years' experience with Azure or AWS cloud services.
• Knowledge of security/governance frameworks (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM).
• Strong communication and collaboration skills.

Responsibilities

• Design and optimize AI/security architectures and threat models.
• Implement AI architectures for threat detection and risk scoring.
• Integrate AI security tools across architectures with stakeholders.
• Analyze incident data to refine AI architectures.
• Provide technical leadership to junior engineers.
• Ensure compliance with NIST AI-RMF, ISO42001, OWASP Top 10 for LLM.
• Stay updated on AI and cybersecurity trends.

Skills

AI security

Cloud architectures

Python/Java/C

Agentic frameworks

Threat detection

Education

Bachelor's or Master's in CS/Engineering

Tools

LangGraph

LangChain

Crew

OpenClaw

Job description

Title : Sr. AI Security Engineer

Location : Plano, TX or Remote

Long-term contract

Overview:

Drive the development and optimization of advanced AI architectures (cloud/hybrid), software, tools, processes, and workflows to predict, detect, and prevent AI-specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI capabilities into robust cybersecurity architectures.

Key Responsibilities:

• Design, develop, and optimize AI/AI Security specific architectures, software, threat models, tools, solutions for threat identification, prediction, and prevention.
• Implement and secure agentic and MCP architectures, neural networks, and AI techniques to enhance threat detection, monitoring, and risk scoring.
• Integrate AI security tools and technologies across AI architectures, collaborating with data scientists, security engineers, and other stakeholders.
• Analyze AI security risk scoring and incident data to refine and improve AI architectures and methodologies.
• Provide technical leadership and mentorship to junior engineers in Agentic and MCP architectures
• Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP).
• Stay abreast of emerging trends and advancements in AI and cybersecurity.

Required Qualifications:

• A bachelor's or master's degree in computer science, Engineering, or a closely related discipline is required.
• 5 years of experience in AI and cloud-focused architectures and cybersecurity in an enterprise environment.
• 8 years deep hands-on low/high level software development expertise in Python, R, Java, C or similar programming languages.
• Deep hands-on understanding of agentic frameworks (LangGraph, LangChain, Crew, OpenClaw etc.,), and AI orchestration.
• Hands-on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence).
• 5 years' experience in Azure or AWS cloud native services, architectures, and tools.
• Expertise in enterprise architecture (including Cloud-native and AI architecture patterns).
• Advanced knowledge of security and governance frameworks (NIST AI-RMF, ISO42001, OWASP Top 10 for LLM).
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with agentic and model context protocols (MCP) architectures.
• Demonstrated ability to lead cross-functional technical teams.
• Track record of published research or thought leadership in AI security.