AI Security Engineer

Job Req

Job Type:Full-time

Work Category:

Remote - Capability Building

Application Close Date: 03/09/2026

Sponsorship:

Not Available

Compensation: $40.59 - $ 67.60

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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.

• 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, Power Shell, 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.

• Bachelor’s degree in Computer Science, Information Security or Data Science plus 4 years of experience in cybersecurity, cloud…