Cyber AI Security Engineer - Remote

Ahura Workforce Solutions is recruiting for a contract-to-hire Cyber AI Security Engineer role. The position will lead the development and optimization of tools, processes, and workflows for identifying and preventing AI-specific threats, while securing AI applications, platforms, agentic workflows, and generative AI solutions in production environments.

Responsibilities:

• The Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, assess, and prevent AI-specific threats
• This hands-on technical leadership role combines deep expertise in cybersecurity, AI security architecture, threat modeling, and security assessments to help ensure the safe adoption of AI technologies across the enterprise

Requirements:

• A Bachelor's or Master's degree in Computer Science, Engineering, Cybersecurity, or a closely related discipline is required
• 10+ years of experience in cybersecurity engineering, application security, cloud security, or AI security within enterprise environments
• Expertise in Python, R, Java, or similar programming languages
• Deep understanding of machine learning, large language models (LLMs), agentic architectures, and AI application security
• Demonstrated experience performing security assessments, threat modeling, and remediation activities for AI applications, AI platforms, or generative AI solutions
• Hands-on experience identifying and mitigating AI-specific threats, including prompt injection, data leakage, model abuse, insecure tool access, agent privilege escalation, and unauthorized data exposure
• Experience performing security reviews of AI systems, agent-based workflows, MCP-enabled architectures, APIs, and enterprise AI integrations
• 3+ years of experience with Azure or AWS cloud-native services, architectures, and tools
• Expertise in enterprise architectures, including cloud-native, AI, and distributed application security patterns
• Advanced knowledge of security and governance frameworks, including NIST AI-RMF, ISO42001, and OWASP Top 10 for LLM Applications
• Strong communication skills with the ability to explain complex technical concepts and remediation strategies to both technical and non-technical stakeholders
• Experience securing Agentic AI systems, multi-agent architectures, and autonomous workflows
• Experience securing or assessing Model Context Protocol (MCP) architectures, tool integrations, and agent communication frameworks
• Experience conducting AI security testing, red teaming, penetration testing, or architecture reviews of AI applications
• Demonstrated ability to lead cross-functional technical teams
• Experience implementing AI security controls, guardrails, monitoring, and governance solutions in production environments