Lead AI Security Consultant

OverviewWe are seeking an innovative and security-driven AI Security Engineer to safeguard our artificial intelligence and machine learning (ML) ecosystems. You will bridge the gap between traditional cybersecurity and cutting-edge data science, designing secure deployment pipelines, implementing adversarial defenses, and protecting sensitive enterprise data against emerging AI-specific threats.Key ResponsibilitiesAI Threat Modeling & Assessment: Lead threat modeling exercises for AI/ML systems to identify risks such as prompt injection, data poisoning, model evasion, and extraction attacksSecure AI Architecture: Design and build reference architectures and reusable security patterns (e.g., sandboxing, policy enforcement) to integrate seamlessly with our agentic AI infrastructureAI Governance & Compliance: Ensure AI deployments adhere to established governance frameworks and industry standardPrivacy & Data Protection: Implement privacy-enhancing technologies (PETs) and data integrity checks to secure datasets throughout the model training, fine-tuning, and inference lifecycleQualifications & RequirementsExperience: 3+ years of cybersecurity experience, with a focus on AI/ML security, application security, or MLOpsTechnical SkillsHands-on experience with core ML and generative AI technologies (e.g., LLMs, transformer-based models, and RAG pipelinesProficiency with security tools and platforms designed to monitor, audit, and secure AI model