Senior Security Engineer (Artificial Intelligence)

Join Hi Marley, a fast-growing startup in the insurance industry, as a Senior Security Engineer specializing in Artificial Intelligence. In this role, you will be responsible for securing the company's internal AI environment, conducting threat modeling, implementing controls, and maintaining an inventory of AI tools. You will also track emerging AI security research, run risk assessments, and execute adversarial testing. This position offers a competitive benefits package, including an open vacation policy, stock options, and a culture of employee engagement and diversity.

• Contribuer à la sécurité de l'environnement interne de l'IA de Hi Marley, en mettant l'accent sur les outils, les agents et les intégrations qui alimentent le travail des équipes.
• Diriger le processus de modélisation des menaces pour les nouvelles capacités d'IA avant leur expédition, en identifiant les risques architecturaux et en conduisant les atténuations dans la phase de conception.
• Exécuter le processus d'évaluation des risques pour les outils d'IA internes, les intégrations et les fournisseurs de modèles tiers, en respectant la méthodologie établie.
• This role is for an experienced security engineer with genuine AI/ML depth who wants to go deep on one of the most important emerging problems in the field
• Hands-on familiarity with how AI systems actually work. You’ve built with them, not just read about them
• Ability to communicate technical risk clearly to engineers, auditors, and stakeholders
• Experience with MCPs, agent orchestration frameworks, or similar agentic infrastructure
• Familiarity with compliance frameworks (SOC 2, ISO 27001, ISO 42001, NIST AI RMF) and mapping technical controls to audit requirements
• Experience at a growth-stage B2B SaaS company
• 5+ years in security engineering, application security, or infrastructure security, with hands-on exposure to AI/ML systems
• Experience running or contributing to AI red-teaming or adversarial testing
• Background in DLP, monitoring, or observability for AI or cloud workloads
• Strong proficiency in Python and experience building security tooling, automation, and testing
• Experience securing or building LLM-based systems, agentic frameworks, or ML pipelines in cloud environments
• Strong working knowledge of AWS security: IAM, networking, container isolation, encryption, and monitoring
• Solid understanding of AI-specific attack surfaces: prompt injection, tool-use exploitation, privilege escalation through inherited access, data poisoning, and model/training-data leakage