Overview
On Site
USD 32.16 - 65.77 per hour
Full Time
Skills
Creative Problem Solving
Finance
STS
Security Engineering
SCS
Incident Management
Computer Science
Cyber Security
Network Security
Proxies
SIEM
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Scripting
Python
Windows PowerShell
Bash
Security Controls
Machine Learning (ML)
Communication
Analytical Skill
Artificial Intelligence
Collaboration
Documentation
Job Details
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).
The Schwab Cybersecurity Services (SCS) organization is a centralized Center of Excellence (COE) within Schwab Technology Services (STS) that provides security services to advance Schwab's security posture of critical assets.
The AI Security Engineering Team is specialized group within SCS responsible for securing the design, deployment, and operation of AI systems across the enterprise. We are looking for the right candidate to join our team as an AI Platform Security Engineer with responsibilities that include:
Supporting the integration and operation of AI Tools within the enterprise ecosystem.
Assisting with proxy and policy configurations, monitoring AI traffic for security anomalies, documenting playbooks for incident response, and collaborating with senior platform engineers to enhance observability and detections.
The role will also involve hands-on work with security proxies, logging pipelines, and network security frameworks.
What you have
Required Qualifications:
Bachelor's degree in Computer Science, Cybersecurity, or related field (or equivalent experience)
Basic knowledge of network security, proxies, and SIEM tools
Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)
Exposure to scripting (Python, PowerShell, or Bash)
Strong interest in AI technologies and willingness to learn security controls for AI/ML systems
Good communication and documentation skills
Demonstrate These Behaviors:
Analytical Thinking: Proactively asks questions when faced with ambiguity, using data to support conclusions.
Forward Thinking: Shows curiosity about AI security trends and actively explores innovative solutions.
Collaboration: Works openly with team members, shares findings, and contributes to documentation and playbooks.
Resilience: Responds to incidents with composure, learns from setbacks, and applies lessons quickly.
Judgment & Escalation: Balances independence with knowing when to escalate issues to senior engineers.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
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).
The Schwab Cybersecurity Services (SCS) organization is a centralized Center of Excellence (COE) within Schwab Technology Services (STS) that provides security services to advance Schwab's security posture of critical assets.
The AI Security Engineering Team is specialized group within SCS responsible for securing the design, deployment, and operation of AI systems across the enterprise. We are looking for the right candidate to join our team as an AI Platform Security Engineer with responsibilities that include:
Supporting the integration and operation of AI Tools within the enterprise ecosystem.
Assisting with proxy and policy configurations, monitoring AI traffic for security anomalies, documenting playbooks for incident response, and collaborating with senior platform engineers to enhance observability and detections.
The role will also involve hands-on work with security proxies, logging pipelines, and network security frameworks.
What you have
Required Qualifications:
Bachelor's degree in Computer Science, Cybersecurity, or related field (or equivalent experience)
Basic knowledge of network security, proxies, and SIEM tools
Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)
Exposure to scripting (Python, PowerShell, or Bash)
Strong interest in AI technologies and willingness to learn security controls for AI/ML systems
Good communication and documentation skills
Demonstrate These Behaviors:
Analytical Thinking: Proactively asks questions when faced with ambiguity, using data to support conclusions.
Forward Thinking: Shows curiosity about AI security trends and actively explores innovative solutions.
Collaboration: Works openly with team members, shares findings, and contributes to documentation and playbooks.
Resilience: Responds to incidents with composure, learns from setbacks, and applies lessons quickly.
Judgment & Escalation: Balances independence with knowing when to escalate issues to senior engineers.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.