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Principal Engineer, AI Security Governance | Endpoint Security Engineering

Job in Vancouver, Clark County, Washington, 98662, USA
Listing for: ServiceNow
Full Time position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 221000 - 387000 USD Yearly USD 221000.00 387000.00 YEAR
Job Description & How to Apply Below

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention. Our Service Now AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better.

We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

About SSO

The Service Now Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact.

Team

This position reports to the Director, Endpoint Security Engineering (ESE) and anchors the AI Security Governance Program — a board-visible, auditor-facing program spanning five control pillars (AI visibility & inventory, prompt & response protection, agent architecture & control, shadow AI & access control, and compliance & audit) and the enterprise AI risks reported to the Audit Committee. The team builds state-of-the-art controls that reduce risk to the company’s most sensitive AI-connected assets with the least possible impact on operations, and shifts the perception of security from blocker to enabler.

Role

As Principal Engineer for AI Security Governance, you will own the technical strategy, architecture, and hands‑on delivery of the program end to end. You will set direction across two governance tracks — enterprise-wide AI traffic and Service Now platform AI — and personally build and mature the controls that enforce it.

This is a senior individual-contributor role: you will lead through technical authority, architecture, and mentorship rather than direct‑report management, and you will be a driving force in Service Now’s internal AI transformation, moving the security function from manual effort toward AI‑automated operations.

What you get to do in this role:
  • Own the vision, strategy, and roadmap for the AI Security Governance Program across all five control pillars
  • Architect controls across both the enterprise-AI and platform-AI tracks, keeping the two governance paths distinct and defensible
  • Deploy, configure, and mature security controls hands‑on — including AI detection and response, data security posture management (DSPM/AISPM), and data-path controls for unmanaged access
  • Drive the shift from manual security operations to AI‑automated workflows, building automation into every control rather than staffing around it
  • Close the highest‑severity gaps in AI data protection, agent permissions, and shadow AI
  • Author and sustain the risk narrative and technical materials for CISO, board, and Audit Committee audiences to a standard of precision that never over claims
  • Provide technical leadership and mentorship to engineers and cross‑functional partners, and bring data to every decision
In order to be successful in this role, we need someone who has:
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision‑making, or problem‑solving. This may include using AI‑powered tools, automating workflows, analyzing AI‑driven insights, or exploring AI’s potential impact on the function or industry.
  • 15+ years of relevant experience in security and software engineering, including hands‑on technical leadership, or similar experience with education
  • Deep, current expertise in AI security — LLM and generative‑AI threats, agentic‑AI risk, prompt and response protection, AI/ML supply chain, and AI governance frameworks
  • Strong architecture and engineering skills across cloud and SaaS environments, and the ability to build and operate controls directly, not only design them
  • Experience with data security tooling (DSPM/AISPM,…
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