Senior AI Defense Engineer

Responsibilities

• Lead AI/ML threat modeling, risk assessments, and security strategy.
• Design and implement AI security controls, guardrails, and monitoring solutions.
• Conduct AI adversarial testing and red team exercises.
• Investigate and respond to AI-related security incidents.
• Secure AI integrations, data flows, and enterprise architecture.
• Partner with engineering teams to secure Microsoft Fabric environments, including AI, analytics, governance, and data workloads.
• Create dashboards, reports, and audit-ready documentation.
• Drive continuous improvement of AI security tools, processes, and best practices.

Requirements

• Bachelor's degree in Computer Science, Cybersecurity, or related field (or equivalent experience).
• 5+ years of experience in security engineering, application security, or AI security.
• Experience securing AI/ML platforms in Azure, AWS, or GCP.
• Strong knowledge of AI security risks, including prompt injection, model poisoning, and data leakage.
• Experience with Microsoft Fabric and securing AI, analytics, and data workloads strongly preferred.
• Familiarity with Azure security services, Microsoft Entra ID, Purview, and Defender is a plus.
• Experience with containers, Kubernetes, CI/CD, and modern cloud infrastructure.
• Knowledge of AI frameworks (e.g., LangChain) and security frameworks such as NIST, ISO, or SOC.
• Strong analytical, communication, and leadership skills.
• AI, cloud, or cybersecurity certifications are a plus.