Senior AI Security Architect: Threat Modeling & Defenses

Waters Corporation

Milford (MA)

On-site

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Waters Corporation, a global leader in life sciences, is seeking a Principal AI Security Analyst to drive security at the intersection of AI and cybersecurity. Lead threat modeling for AI/ML systems, manage AIRS tooling, and shape frameworks ensuring resilience against adversarial attacks across large-scale models.

You will collaborate with ML engineering, platform, and product teams, enforce AI security policies, and advance defenses against model extraction, data poisoning, and prompt

Qualifications

  • 8+ years in cybersecurity with 3+ years focused on AI/ML security.
  • Hands-on experience with AI security tooling such as AIRS or similar.
  • Deep understanding of LLM architectures and threat classes.
  • Proficiency in Python; ability to review model code/pipelines.
  • Experience with threat modeling frameworks and cross-functional security programs.
  • Cloud-native environment experience (AWS, GCP, or Azure).

Responsibilities

  • Own end-to-end threat modeling for AI/ML systems including LLMs and inference infrastructure.
  • Tune and operate AIRS to detect and block adversarial inputs in real time.
  • Manage AI Access Security policies and DLP for shadow-AI visibility.
  • Implement AI gateway layer for rate limiting, access controls, and observability.

Skills

AI/ML security
Threat modeling
Python
Cloud security
Security program leadership

Tools

Palo Alto AIRS
AI gateway security tools

Job description

Waters Corporation, a global leader in life sciences, is seeking a Principal AI Security Analyst to drive security at the intersection of AI and cybersecurity. Lead threat modeling for AI/ML systems, manage AIRS tooling, and shape frameworks ensuring resilience against adversarial attacks across large-scale models.

You will collaborate with ML engineering, platform, and product teams, enforce AI security policies, and advance defenses against model extraction, data poisoning, and prompt

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