As a Lead AI AppSec Engineer, you will work with application teams to ensure the security of custom and procured AI solutions. You will help enable Capital Group's AI strategy by building and/or procuring solutions to protect a diverse set of enterprise AI platforms being built and deployed at Capital Group. You'll collaborate with platform engineering, security engineering, and risk teams to ensure their solutions support scalable, secure adoption of AI. Additionally, you'll be expected to provide mentoring, advising diverse teams across the organization, and promoting AI Security principles across Capital Group. 31 Secure AI Development Lifecycle: You will procure and/or build technical solutions to embed automated security checks into the AI SDLC and ML-Ops. 31 AI Threat Modeling: You will threat model complex Agentic and AI systems and design security requirements collaboratively with developers, architects and business stakeholders 31 Code analysis: You will review code for security vulnerabilities in the context of AI-driven systems 31 Contribute to Standards and Policies: You will provide thought leadership for Information Security policies and standards for AI in collaboration with technology risk 31 AI/Agent SME: You will provide AI/Agent subject matter expertise for AI Incidents and Security Reviews, and help develop incident response playbooks for AI-related security incidents 31 You have 8+ years of experience in information security, application security, platform security, or penetration testing, DevSecOps, network security and other security disciplines. 31 You have strong knowledge of security of safety risks of Large Language Models and AI Agents (OWASP for LLM Top 10, etcetera) 31 You have 5+ Years of experience automating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines 31 You have extensive experience with STRIDE/other threat modeling frameworks, agile workflows, including Scrum and Kanban 31 You are experienced in at least one programming languages (Python, Java, .NET) 31 You can effectively partner and collaborate with stakeholder teams. 31 You have effective communication skills and the ability to outline security risks to leadership. Preferred Qualifications: 31 You have knowledge and experience with technologies including Kubernetes, Containers, CI/CD, and Cloud Service Providers 31 You are familiar with function and purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (Examples LangChain, LlamaIndex, etc.) 31 You are familiar with key AI regulatory frameworks such as NIST AI RMF, MITRE ATLAS, GDPR, EU AI Act, etc 31 You have Information Security certifications (CISSP, SANS GIAC, CISA, etc.) Charlotte Base Salary Range: $194,706-$311,530 Southern California Base Salary Range: $226,893-$363,029 New York Base Salary Range: $240,519-$384,830 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. * Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.