Application Security Engineer - AI Engineer

Responsibilities

You will design scalable security standards, architectures, and guardrails to protect AI-enabled applications and software supply chains. Additionally, you will collaborate across engineering and security teams to assess emerging threats and remediate vulnerabilities.

Requirements

Candidates must have at least 5 years of experience in application security or a related cybersecurity discipline. Proficiency in programming languages such as Python, Java, or Go and experience with secure SDLC practices are required.

Skills

• Application Security
• AI Security
• Software Development Lifecycle
• Threat Modeling
• Vulnerability Management
• API Security
• Cloud Platforms
• Python
• Java
• C#
• Go
• JavaScript
• Generative AI
• Large Language Models
• Penetration Testing
• Automation

Benefits

• Bonus opportunities
• Incentive opportunities

About this role

Your Opportunity
Your Opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
As a Senior Application Security Engineer focused on AI security, you will help protect Schwab’s predictive, generative, and agentic AI capabilities throughout the software development lifecycle. You will design scalable security standards, architectures, testing capabilities, monitoring solutions, and guardrails that strengthen AI-enabled applications, models, APIs, and software supply chains.
Working across development, architecture, platform engineering, and security teams, you will assess emerging threats, evaluate risk, and translate complex findings into practical security solutions. Your problem-solving, adaptability, and cross-functional collaboration will enable teams to make informed decisions, remediate vulnerabilities, and build secure AI capabilities at scale. This role offers the opportunity to advance Schwab’s AI security practices while expanding your expertise in emerging technologies, automation, and modern application protection.
What you have
Required qualifications
5+ years of experience in application security, security engineering, software engineering, or a related cybersecurity discipline
Experience implementing and governing secure Software Development Life Cycle practices
Experience with application security, API security, authentication and authorization, threat modeling, vulnerability management, and software supply chain security
Experience with cloud platforms, continuous integration and continuous delivery pipelines, automation, and modern application architecture
Proficiency in Python, Java, C#, Go, JavaScript, or another programming language
Preferred qualifications
Experience securing Generative AI, Large Language Models, Agentic AI platforms, or machine learning systems
Experience performing penetration testing on web, mobile, and thick client applications.
Experience working with LLMs to create agents, create AI harnesses, and solve business problems.
Knowledge of prompt injections, model abuse, model poisoning, data leakage, excessive agency, and related AI threats
Familiarity with the OWASP Top 10 for Large Language Model Applications, NIST AI Risk Management Framework, or MITRE ATLAS
Experience with security testing, observability, and production monitoring
Ability to evaluate complex risks, make sound decisions, and develop scalable solutions
Ability to communicate technical risks and collaborate across development, architecture, platform engineering, and security teams
CISSP, CSSLP, cloud security, AI security, or another relevant industry certification
In addition to the salary range, this role is eligible for bonus or incentive opportunities.

About Charles Schwab Inc.

Financial Services · 10,001+ employees · headquartered in Westlake, Texas