Principal Cyber AI Engineer

Job not on LinkedIn

🕒 March 12

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

PHIZENIX

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

👥 HR Tech

🤖 Artificial Intelligence

🤝 B2B

HR Tech • Artificial Intelligence • B2B

PHIZENIX is a talent acquisition solutions company that specializes in connecting businesses with highly skilled technology professionals. They offer services such as executive search, permanent placement, and contract staffing while also helping businesses integrate artificial intelligence into their operations to enhance performance. With a focus on cultural fit and precise matching, PHIZENIX aims to streamline the hiring process and optimize talent deployment for companies seeking to innovate and grow in the digital landscape.

📋 Description

• Design, develop, and optimize AI-security-specific threat models, tools, and solutions for threat identification, prediction, and prevention. • Implement and secure machine learning models, GenAI models, and AI techniques to enhance threat detection, monitoring, and risk scoring. • Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders. • Analyze AI security incident data to refine and improve AI models and methodologies. • Provide technical leadership and mentorship to junior engineers in AI and machine learning. • Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLMs) and advanced security architectures (Agentic, MCP). • Stay abreast of emerging trends and advancements in AI and cybersecurity.

🎯 Requirements

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related discipline is required. • 5+ years of experience in AI-focused cybersecurity in an enterprise environment. • Expertise in Python, R, Java, or similar programming languages. • Deep understanding of machine learning, neural networks, and application to security systems. • Hands-on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence). • 3+ years’ experience in Azure or AWS cloud-native services, architectures, and tools. • Expertise in enterprise architectures (including cloud-native and AI architecture patterns). • Advanced knowledge of security and governance frameworks (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLM). • Strong communication and collaboration skills.