Sr. Staff AI Security Engineer

BILL•San Jose, CA
•$165,200 - $243,000•Remote

About The Position

We are looking to hire a Sr. Staff AI Security Engineer to lead the secure deployment and operation of AI and ML systems across the company. This role moves beyond traditional perimeter security to address the unique vulnerabilities of Large Language Models (LLMs) and automated orchestration layers. Your mission: provide a secure foundation—gateways, orchestration layers, and tool ecosystems—that enables developers to innovate at pace while maintaining a robust security posture. You'll partner with platform, engineering and IT teams as a builder and enabler rather than a gatekeeper, embedding security into the AI development lifecycle by default and shaping how BILL navigates the AI threat landscape.

Requirements

  • A proven track record of building and scaling security systems in high-growth environments
  • High proficiency in Python or Go to build, automate, and scale security tooling
  • Deep understanding of LLM-specific attack vectors: prompt injection and jailbreaking
  • Deep understanding and applied experience with the OWASP LLM Top 10 framework
  • Experience designing secure API gateways, orchestration layers, and scalable security infrastructure using infrastructure as code
  • Experience standing up red-teaming or adversarial testing programs
  • A strong grasp of AI/ML fundamentals, including model supply chain and data privacy risks
  • A builder mentality and passion for the AI space—you enable development through secure architecture rather than blocking it
  • The ability to influence senior leadership and mentor engineers across the organization
  • A background in Computer Science, Cybersecurity, or a related technical field
  • Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

Responsibilities

  • Design, build, and operate secure AI gateways and policy orchestration layers spanning multiple AI models and service providers
  • Configure end point settings for AI tools in collaboration with IT end point management solutions.
  • Stand up and lead a formal AI red-teaming practice covering prompt injection, jailbreaking, model extraction, and emerging attack vectors
  • Identify and mitigate AI-specific threats across input manipulation, supply chain (model weights, datasets, third-party AI libraries), data privacy (training data leakage, PII disclosure), and model integrity (poisoning, unauthorized fine-tuning)
  • Automate security checks and guardrails to enable rapid development cycles without sacrificing security posture
  • Apply and operationalize the OWASP LLM Top 10 framework to categorize and mitigate risk
  • Own the AI security roadmap and advise senior leadership on AI risks and safe adoption
  • Embed with platform teams as a partner, fostering a collaborative security culture
  • Mentor fellow engineers on AI security best practices
  • Document and report vulnerabilities with clear remediation guidance and technical direction

Benefits

  • medical, dental, vision, life and disability insurance
  • 401(k) retirement plan
  • flexible spending & health savings account
  • paid holidays
  • paid time off
  • 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
  • Employee Assistance Program (EAP)
  • 11+ Observed holidays and wellness days and flexible time off
  • Employee Stock Purchase Program with employee discounts
  • Wellness & Fitness initiatives
  • Employee recognition and referral programs
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