Principal AI Security Analyst

Waters Corporation•Milford, MA

13d•$120,500 - $200,500

About The Position

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.

Requirements

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)

Nice To Haves

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

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