ServiceNow

AI Security Engineer | Application and Product Security

AI Security Engineer at ServiceNow, Chicago. Secure LLM models using Application Security expertise, DevSecOps, GenAI, AWS, Python/Rust. 2+ yrs required. Competitive benefits.

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The Mothership
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Entry Level
ServiceNow Role Type:
ServiceNow Modules:
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DevOps
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Governance, Risk, and Compliance
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Security Operations
ServiceNow Certifications (nice to have):

Job description

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Posted on:
 
November 18, 2025

ServiceNow is seeking an experienced AI Security Engineer to join its team. The ideal candidate will have a strong background in AI security, application security, and DevSecOps practices. They will be responsible for designing and solving cutting-edge AI security problems for LLM Models built in ServiceNow within the Application Security space.

Requirements

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
  • 2+ Years of experience as a Security Engineer or similar experience with education
  • Familiar with building a GenAI product and put into production
  • Familiar with Application Security Concepts & Tools (Such as SAST, DAST, SCA, OWASP Top Ten, SDLC)
  • Experience with DevSecOps practices and concepts, such as CI/CD Pipeline Security, container security
  • Good understanding of Cloud Services and Infrastructure, Ideally AWS
  • A good level of programming languages such as Python, Rust or Go, and Juypter notebooks
  • Knowledge of ML frameworks such as PyTorch, TensorFlow, HuggingFace
  • An understanding of AI Governance, privacy, compliance frameworks
  • An understanding of AI Model development, adversarial attacks (evasion, poisoning, backdoors) of models, prompt injection, and LLM misuse

Benefits

  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP
  • Matching donations
  • Flexible time away plan
  • Family leave programs

Requirements Summary

2+ years of experience as a Security Engineer or similar experience with education, Familiar with building a GenAI product and put into production, Good understanding of Cloud Services and Infrastructure, Ideally AWS