Waters Corporation

Principal AI Security Analyst

Waters Corporation • $150K — $180K *
Milford, MA 01757In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 8+ years in cybersecurity with 3+ years focused on AI/ML security
  • Hands-on experience with Palo Alto Networks AIRS or AI Access Security
  • Deep understanding of LLM architectures and vulnerability classes
  • Proficiency in Python for model code review and ML pipelines
  • Experience with threat modeling frameworks (e.g., STRIDE, PASTA)
  • Track record of driving cross-functional security programs at scale
  • Experience in cloud-native environments (AWS, GCP, Azure)

Responsibilities

  • Own end-to-end threat modeling for AI and ML systems, including LLMs
  • Administer and tune Palo Alto Networks AIRS for real-time threat detection
  • Manage AI Access Security policies governing employee use of third-party AI applications
  • Integrate AI gateway layers to apply rate limiting and access controls
  • Research and operationalize defenses against various adversarial attacks
  • Lead red-team exercises targeting AI systems and develop actionable security roadmaps
  • Define and maintain security standards for AI model development
  • Evaluate third-party AI tools for supply-chain and data-handling risk

Benefits

  • High-visibility role impacting the company's AI risk strategy
  • Opportunities for mentorship and setting technical direction in AI security
  • Autonomous position that involves leading cross-functional security initiatives
  • Involvement in important compliance discussions related to AI governance
  • Chance to research and implement cutting-edge security defenses against evolving threats
Full Job Description
Overview

As a Principal AI Security Analyst, you will be the organization's deepest subject-matter expert at the intersection of artificial intelligence and cybersecurity. You will lead the security review of AI/ML systems, manage our AI security toolchain, identify emerging threats unique to large-scale models, and build the frameworks that keep our AI infrastructure resilient against adversarial attacks. This is a high-visibility, high-autonomy role that shapes how the company thinks about AI risk.

Responsibilities

  • Own end-to-end threat modeling for AI and ML systems, including LLMs, training pipelines, and inference infrastructure
  • Administer and tune Palo Alto Networks AI Runtime Security (AIRS) to detect and block adversarial inputs, prompt injection, and model abuse in real time
  • Manage AI Access Security policies to govern employee use of third-party AI applications - enforcing DLP, acceptable-use rules, and shadow-AI visibility
  • Integrate an AI gateway layer to apply rate limiting, access controls, and observability across LLM API traffic
  • Research and operationalize defenses against adversarial attacks - model extraction, data poisoning, jailbreaking, and membership inference
  • Lead red-team exercises targeting AI systems and synthesize findings into actionable security roadmaps
  • Define and maintain security standards, policies, and controls specific to AI model development and deployment
  • Partner with ML engineering, platform, and product teams to embed security requirements from design through production
  • Evaluate third-party AI tools, APIs, and vendors for supply-chain and data-handling risk
  • Work with other security team members in AI governance discussions, including compliance with EU AI Act and NIST AI RMF
  • Mentor other team members; set technical direction for the AI security practice


Qualifications

REQUIRED
  • 8+ years in cybersecurity with 3+ years focused on AI/ML security
  • Hands-on experience with Palo Alto Networks AIRS or AI Access Security
  • Deep understanding of LLM architectures and common vulnerability classes
  • Proficiency in Python; ability to review model code and ML pipelines
  • Experience with threat modeling frameworks (STRIDE, PASTA, or similar)
  • Track record driving cross-functional security programs at scale
  • Cloud-native environment experience (AWS, GCP, or Azure)

PREFERRED
  • Palo Alto Networks certifications (PCNSE, PCCSE, or equivalent)
  • Experience deploying AI gateways (Portkey, Kong AI, or similar)
  • Published research or CVEs related to AI/ML security
  • Familiarity with differential privacy or model watermarking
  • CISSP, OSCP, or equivalent certifications


Key Words

ai ai_security cybersecurity infosec information_security

About Waters Corporation

Waters Corporation is a publicly traded Analytical Laboratory instrument and software company headquartered in Milford, Massachusetts. The company designs, manufactures, sells and services high performance liquid chromatography, ultra performance liquid chromatography, and mass spectrometry technology systems and support products primarily in the United States, Europe, Japan, and Asia. The company's products are used by pharmaceutical, life science, biochemical, industrial, academic and government organizations working in research and development, quality assurance and other laboratory applications. Waters Corporation's products are sold worldwide through a direct sales force and independent distributors.
Learn more about Waters Corporation
Size
7,800 employees
Market Cap
$20.4 billion
Industry
Consumer Technology
Net Income
$521.5 million
Founded
1905
5 Year Trend
+5.1%
Revenue
$2.3 billion
NASDAQ
WAT
* Ladders Estimates

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