Sr. Staff AI Security Engineer
New
B
BILLFintech
Draper, Utah, United States; San Jose, California, United StatesFull-TimeSenior
SalarySan Jose pay range $194,300 — $243,000 USD; Draper UT pay range $165,200 — $206,600 USD. This role is eligible to participate in BILL’s bonus and equity plan.
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Job Details
- Required Skills
- PythonCybersecurityMachine LearningGo
Requirements
- 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
- Strong grasp of AI/ML fundamentals, including model supply chain and data privacy risks
- Builder mentality and passion for the AI space, enabling development through secure architecture
- Ability to influence senior leadership and mentor engineers across the organization
- Background in Computer Science, Cybersecurity, or a related technical field
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, data privacy, and model integrity
- 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
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