About the Role

We are seeking an AI Security Engineer to help secure next-generation AI systems, LLM applications, and cloud-native infrastructure. This role sits at the intersection of cybersecurity, machine learning, and application security, focusing on protecting AI models, data pipelines, and agentic workflows from emerging threats.

The ideal candidate understands both offensive and defensive security principles and can assess risks across AI deployments, APIs, cloud environments, and autonomous systems.

Responsibilities

• Design and implement security controls for AI/LLM applications and infrastructure
• Perform AI red teaming, adversarial testing, and prompt injection assessments
• Secure RAG pipelines, vector databases, APIs, and AI agents
• Conduct threat modeling for AI-enabled products and workflows
• Collaborate with engineering teams to embed Secure-by-Design principles
• Develop detection and monitoring strategies for AI abuse and model misuse
• Evaluate third-party AI vendors and model security risks
• Support governance, compliance, and AI risk management initiatives
• Automate security testing and validation processes within CI/CD pipelines
• Stay current on emerging AI threats, OWASP LLM Top 10 risks, and adversarial ML techniques

Requirements

• 3+ years of cybersecurity, application security, cloud security, or AI security experience
• Strong understanding of LLMs, generative AI systems, and AI architectures
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with OWASP Top 10 and OWASP LLM Top 10
• Knowledge of Python, APIs, containers, and Kubernetes
• Experience with security tooling such as SIEM, EDR, SAST/DAST, or CSPM
• Understanding of prompt injection, model poisoning, jailbreaks, and adversarial attacks
• Strong communication and cross-functional collaboration skills

Preferred Qualifications

• Experience securing agentic AI or autonomous AI systems
• Familiarity with RAG architectures, vector databases, and AI orchestration frameworks
• Exposure to AI governance frameworks such as NIST AI RMF, ISO 42001, or SOC 2
• Experience conducting penetration testing or red teaming exercises
• Security certifications such as CISSP, OSCP, CCSP, or cloud certifications

Compensation

• Competitive base salary
• Flexible remote work options
• Health, dental, and vision coverage
• Professional development and certification support

Ideal Backgrounds

• AI Security Engineer
• Application Security Engineer
• Cloud Security Engineer
• Security Researcher
• ML Security Engineer
• Offensive Security Consultant
• Detection Engineer with AI experience