AI / ML Solution and Software Architect

Nexiva • Plano, TX

11h • Hybrid

About The Position

The AI / ML Solution and Software Architect will provide hands-on technical leadership in developing and optimizing advanced cloud and hybrid AI architectures, software, tools, processes, and workflows to predict, detect, and prevent AI-specific threats. The role combines research in AI security with collaboration across teams to integrate AI capabilities into robust cybersecurity architectures. The position is based in Plano, Texas, and is hybrid. The listed engagement duration is 12 months or longer, at $80 per hour on C2C; candidates must be local and have U.S. citizenship or a green card. Interview process: both formats, depending on the client.

Requirements

• Bachelor's or master's degree in computer science, engineering, or a closely related discipline.
• At least 5 years of experience in AI- and cloud-focused architectures and cybersecurity in an enterprise environment.
• At least 8 years of hands-on low- and high-level software development expertise in Python, R, Java, C, or similar programming languages.
• Deep hands-on understanding of agentic frameworks such as LangGraph, LangChain, Crew, or OpenClaw, and AI orchestration.
• Hands-on experience with AI security technologies, including intrusion detection, anomaly detection, and threat intelligence.
• At least 5 years of experience with 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, including NIST AI RMF, ISO 42001, and OWASP Top 10 for LLM.
• Strong communication and collaboration skills.
• Local to Plano, Texas; U.S. citizenship or a green card is required.

Nice To Haves

• Experience with agentic and Model Context Protocol (MCP) architectures.
• Demonstrated ability to lead cross-functional technical teams.
• A track record of published research or thought leadership in AI security.

Responsibilities

• Design, develop, and optimize AI and AI-security architectures, software, threat models, tools, and solutions for threat identification, prediction, and prevention.
• Implement and secure agentic and MCP architectures, neural networks, and AI techniques to improve threat detection, monitoring, and risk scoring.
• Integrate AI security tools and technologies across AI architectures in collaboration with data scientists, security engineers, and other stakeholders.
• Analyze AI security risk-scoring and incident data to refine and improve architectures and methodologies.
• Provide technical leadership and mentorship to junior engineers in agentic and MCP architectures.
• Ensure alignment with industry standards and security frameworks, including NIST AI RMF, ISO 42001, and OWASP Top 10 for LLM.
• Stay current with emerging developments in AI and cybersecurity.

What This Job Offers

• Career Level: Senior