AI Security Engineer

Gallo Glass Company is a family-owned company with a rich legacy in the alcohol beverage industry. They are seeking an AI Security Engineer to secure AI/ML systems, implement security controls, and partner with various teams to ensure the security and compliance of AI models.

Responsibilities:

• Secure AI/ML systems across the entire lifecycle
• Partner with Data & AI, IT, Legal, and Compliance to embed security, governance, and observability into model development, deployment, and operations
• Implement AI-specific controls and automation for generative and agentic AI
• Perform technical risk and threat assessments (including prompt injection, data poisoning, model inversion, leakage, and adversarial attacks)
• Integrate AI security tools into our stack while operationalizing responsible AI practices aligned to NIST, ISO, and emerging regulations
• Embed security into the SDLC for training pipelines, inference services, and data flows
• Define controls like model validation, access controls, provenance, bias mitigation, explainability, and integrity checks
• Design and maintain behavioral monitoring, drift and anomaly detection, and SIEM integrations
• Develop security automation and AI-driven workflows for detection, incident response, and compliance reporting
• Run adversarial evaluations and penetration tests
• Manage remediation plans
• Evaluate and pilot model scanners and content-safety solutions
• Produce clear technical reports and metrics for leadership
• Create targeted training and playbooks for secure AI development

Requirements:

• Bachelor's degree in Computer Science, Information Security or Data Science plus 2 years of experience in cybersecurity, cloud security, or application security with exposure to AI/ML systems OR High School Diploma plus 6 years of experience in cybersecurity, cloud security or application security with exposure to AI/ML systems
• Strong understanding of ML workflows (training/inference), data pipelines, and model architectures (including LLMs and generative models)
• Hands-on experience with secure coding practices, threat modeling, vulnerability assessment, and penetration testing
• Familiarity with AI-specific threats and mitigations (prompt injection, model poisoning, data leakage, adversarial examples)
• Experience in scripting and automating security tasks (Python, PowerShell, or similar) at an intermediate level
• Experience with cloud platforms and cloud-native security controls (Azure and AWS)
• Analytical, problem-solving, and communication skills at an advanced level
• Required to travel to company offices, sites, and/or meeting locations for onboarding, training, meetings, and events for development, department needs, and business delivery up to 5% of the time, with or without reasonable accommodation
• Required to be 18 years or older
• Bachelor's degree in Computer Science, Information Security or Data Science plus 4 years of experience in cybersecurity, cloud security, or application security with exposure to AI/ML systems
• Experience with AI security tools and platforms
• Certifications such as CISSP, CISM, CEH, CCSK, or AI/ethics credentials
• Experience integrating security tooling with SIEM, SOAR, and observability stacks
• Knowledge in low-code platforms (Power Platform, Power BI) and DLP/governance controls
• Experience implementing model governance, MLOps security controls, or model risk management
• Experience in agile environments and cross-functional team collaboration