Lead AI AppSec Engineer
Job Overview
Skills & Requirements
Python
Essential skill for this role
Java
Essential skill for this role
Teams
Essential skill for this role
GDPR
Essential skill for this role
Qualifications & Education
Qualifications
You have knowledge and experience with technologies including Kubernetes, Containers, CI/CD, and Cloud Service Providers 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.) You are familiar with key AI regulatory frameworks such as NIST AI RMF, MITRE ATLAS, GDPR, EU AI Act, etc You have Information Security certifications (CISSP, SANS G Southern California Base Salary Range: $173,211-$277,138 San Antonio Base Salary Range: $142,394-$227,830 New York Base Salary Range: $183,613-$293,781
About the Role
Lead AI AppSec Engineer
Curated brief to help you tailor your application.
Role Overview
Start by showing recruiters you understand the team's mission and environment.
“I can succeed as a Lead AI AppSec Engineer at Capital Group”
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.
Secure AI Development Lifecycle: You will procure and/or build technical solutions to embed automated security checks into the AI SDLC and ML-Ops.
AI Threat Modeling: You will threat model complex Agentic and AI systems and design security requirements collaboratively with developers, architects and business stakeholders
Code analysis: You will review code for security vulnerabilities in the context of AI-driven systems
Contribute to Standards and Policies: You will provide thought leadership for Information Security policies and standards for AI in collaboration with technology risk
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
Skills Snapshot
Double down on these tools and frameworks in your application.
Get Expert Application Review
Boost your chances of landing this role with a professional application review from our expert consultants.
Available exclusively to Skill Farm members