AI Security Architect

Required Skills & Qualifications

• Years in cybersecurity architecture or engineering roles.
• Strong knowledge of modern AI/ML architectures, Generative AI, RAG, and Agentic AI architectures, pipelines, and tooling. Experience with LLM security, prompt safety testing, adversarial AI risks, and AI security control design.
• Experience securing enterprise AI platforms and cloud AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, or equivalent).
• Experience applying AI security and governance frameworks such as NIST AI RMF, MITRE Atlas or similar frameworks.
• Understanding of AI based attacks and threats.
• Strong knowledge of data protection and controls required to protect data.
• Knowledge of creating and communicating cybersecurity risks both in technical and non-technical manner.
• Experience working in AI/ML or data engineering environments.
• Proven track record designing enterprise security frameworks or architecture patterns.
• Excellent communication with technical and non-technical stakeholders.
• Strong analytical, problem-solving, and decision-making abilities.
• Leadership skills to guide engineering teams and influence organizational policy.
• Knowledge of regulatory frameworks specific to Insurance (HIPAA, PCI, etc.)
• Experience operating within complex enterprise environments where platform, cloud, or infrastructure ownership is distributed across multiple teams.