Job Specifications
Job Req ID: 106891
Job Type: Full-time
Work Category: Remote - Capability Building
Application Close Date: 03/09/2026
Sponsorship: Not Available
Compensation: $ 45.10 - $ 67.60
Gallo Privacy Policy
We are GALLO
We’re a family-owned company with a 90+ year legacy, that’s consistently recognized as a Glassdoor “Best Places to Work.” We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We’re home to the #1 wine and spirits brands in the U.S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America.
View our Corporate Values and Mission Statement here.
A Taste Of What You'll Do
Join our team as an AI Security Engineer to secure AI/ML systems across the entire lifecycle—partnering with Data & AI, IT, Legal, and Compliance to embed security, governance, and observability into model development, deployment, and operations. You will 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), and integrate AI security tools into our stack while operationalizing responsible AI practices aligned to NIST, ISO, and emerging regulations.
In this role you’ll 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; and develop security automation and AI-driven workflows for detection, incident response, and compliance reporting. You’ll 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, and create targeted training and playbooks for secure AI development.
We value intrapreneurship—thinking boldly, taking appropriate risks, learning from mistakes—and ownership—setting high expectations, driving candid discussion, and holding self and others accountable. We welcome applicants from all backgrounds and life experiences and are committed to an inclusive workplace; reasonable accommodations are available throughout the hiring process. If you’re passionate about building secure, responsible, and observable AI systems and translating technical risk into actionable guidance, we’d love to hear from you.
What You'll Need
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. This may be in addition to travel requirements, if applicable, as listed in this job description.
Required to be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this job description.
How You'll Stand Out
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.
Our Benefits & Perks
To view the complete job description please click here.
We are committed to providing competitive compensation, perks, and a culture that supports your well-being. Benefits depend on your work category and may include medical and