Senior AI Security Engineer

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Security, or a related field or equivalent hands-on experience.
• Minimum 8 years of experience in security engineering, information security, or related technical disciplines, with a demonstrated focus on securing AI/ML systems.
• Proven experience defining and executing enterprise security strategies.
• Experience and deep technical knowledge of how AI/ML technologies work.
• Deep familiarity with AI security frameworks (e.g., NIST AI RMF, MITRE ATLAS, OWASP).
• Experience securing organizational tool stacks including cloud-based, hybrid or on-prem solutions.
• Deep knowledge of AI related threats, risks and mitigation strategies.
• Strong foundation in core security principles—threat modeling, secure design, and identity and access control—applied to AI/ML systems and the infrastructure that supports them.
• Hands-on experience securing AI/ML systems, including practical AI red teaming against LLMs, agentic workflows, or RAG systems
• Strong programming and scripting proficiency (e.g., Python) for building security tooling, automation, and test harnesses across the AI/ML lifecycle.
• Hands-on experience securing cloud and containerized environments (AWS, Azure, and/or GCP; Kubernetes and containers), including the infrastructure on which AI/ML workloads are trained, deployed, and served.
• Experience embedding security into MLOps and AI/ML development pipelines (and the CI/CD workflows that feed them), including model and dataset integrity checks, guardrail validation, and automated security testing.
• Proven ability to communicate complex security risk clearly to both technical and non-technical audiences, including engineers, leadership, and customers.
• Demonstrated experience mentoring engineers and serving as a senior technical authority and subject-matter expert.
• Hands-on offensive security and AI red-teaming experience targeting AI s