Lead AI Security Engineer

**Description** ### **Position Summary** We are seeking an experienced AI Security Engineer to lead the design, implementation, and operationalization of security controls for our LLM\-powered applications, AI platforms, and model\-hosting infrastructure. This role will focus on protecting AI systems from prompt injection, sensitive data leakage, insecure tool use, model abuse, and cloud/infrastructure threats, while helping establish secure engineering patterns for the next generation of AI\-enabled products. The role sits at the intersection of Application Security, Cloud Security, and AI Platform Engineering. The ideal candidate combines offensive and defensive security expertise with strong experience in secure system design, cloud infrastructure, CI/CD, containers, and modern software delivery pipelines. You will help define and execute new AI security initiatives across the enterprise, especially in a regulated financial services environment where confidentiality, resilience, governance, and auditability are critical. Sector\-specific AI governance and risk management expectations are increasingly being formalized through frameworks such as the NIST AI RMF. ### **Essential Job Functions** * Lead security initiatives for LLM\-powered applications, copilots, agentic systems, and AI\-assisted workflows. * Design and implement controls to reduce the risks of prompt injection, sensitive information disclosure / data leakage, improper output handling, excessive agent autonomy, model and AI supply chain risk, vector / embedding and retrieval\-related weaknesses. * Partner with engineering teams to embed secure\-by\-design patterns into AI application development, deployment, and operations. * Create guardrails for AI systems that process customers, employees, and regulate financial data. * Architect and implement AI gateway controls that centralize security policy enforcement for model traffic, including prompt inspection, response filtering, PII/secret redact