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Lead AI AppSec Engineer

4 Locations, 4 Locations
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Job Overview

Salary £45k - £68k (AI est.)
Location 4 Locations, 4 Locations
Type Full time

Skills & Requirements

85%

Python

Essential skill for this role

85% Required
77%

Java

Essential skill for this role

77% Required
69%

Teams

Essential skill for this role

69% Required
61%

GDPR

Essential skill for this role

61% Required
Python
Java
Teams
GDPR
Agile
Scrum

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.

  • Python
  • Java
  • Teams
  • GDPR
  • Agile
  • Scrum

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Frequently Asked Questions

A Lead AI AppSec Engineer is responsible for key financial functions including analysis, reporting, and strategic planning. This level position requires expertise in sector dynamics and involves working with cross-functional teams to drive business growth and financial performance.
This Lead AI AppSec Engineer role typically requires a degree in Finance, Accounting, Economics, or related field. Candidates should have relevant experience in sector, strong analytical skills, proficiency in financial modeling, and excellent communication abilities. Professional qualifications such as CFA, ACCA, or ACA are often preferred.
Career progression from a Lead AI AppSec Engineer role can lead to senior finance positions such as Finance Manager, Finance Director, or CFO roles. The sector offers diverse opportunities for professional development, including specialized areas like investment banking, corporate finance, or financial planning and analysis.
To apply for this Lead AI AppSec Engineer position, click the 'Send CV' button above to submit your application directly to the hiring manager. Ensure your CV highlights relevant experience and financial expertise. Our recruitment consultants will review your application and contact you within 24-48 hours if your profile matches the requirements.