AI Security Engineer, Defensive Automation

Description

About Norm

Norm builds AI-native professional services firms and the technology that powers them. Our mission is to help expert professionals deliver better work at greater scale.

Developing the technology and the firms together lets us rethink how work gets done, how teams operate and what clients can expect. Professional judgment and experience guide what we build, while advances in the technology expand what our firms can deliver. Our shared agentic platform connects that progress across teams and services.

Founded in 2023, Norm brings together experts across engineering, research, product, design and professional practice. Our legal and compliance platform serves institutions representing more than $35 trillion in combined assets under management.

Norm also powers Norm Law, LLP, an affiliated AI-native law firm whose attorneys advise leading institutions on complex corporate matters.

AI Fluency:

Norm prefers all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.

Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.

This Role:

We’re hiring Senior AI Security Engineers to build automated, AI-driven systems that find, prioritize, and fix security weaknesses faster than attackers can exploit them.

You’ll work across the full lifecycle, from discovery and threat modeling through remediation and response, and go deep in either offensive research or defensive operations based on your strengths. You’ll report to the Chief Security Officer and work closely with Engineering.

Responsibilities

• Across the Role
• Build defensive automation: Design, build, and improve AI-driven security tooling, with the testing, safeguards, and human oversight you’d expect of production systems.
• Threat-model: Assess new and existing systems for risk, and use those models to decide where detection and remediation effort goes.
• Respond to incidents: Join the response rotation for critical vulnerabilities and security events, from assessing exposure through remediation.
• Measure and communicate: Track how well our security work is performing, and explain risks and tradeoffs clearly to technical and non-technical audiences.
• Research Focus
• Find unknown weaknesses: Proactively hunt for previously unknown weaknesses using both automated and manual techniques, in a safe and controlled way.
• Validate findings: Confirm and reproduce findings, and feed what you learn back into the automation to make it better.
• Operations Focus
• Run vulnerability management at scale: Triage, prioritize, and remediate vulnerabilities, automating as much of the process as you can.
• Turn threat information into priorities: Bring threat intelligence and external advisories into decisions about what gets fixed first.

Requirements

• Core Qualifications
• 5+ years of experience in application security and cloud security fundamentals
• Strong software engineering skills, with production code in at least one modern language (ideally Python)
• Hands-on experience building with LLMs or AI agents
• Experience running threat models
• Calm, structured judgment during incidents
• Deep Expertise in at Least One Area
• Research: Vulnerability research, offensive security or red teaming, exploit development, CVE credits, or bug bounty work
• Operations: Vulnerability management at scale, detection and response, security automation, or software supply-chain security
• Nice to Haves
• Threat intelligence experience
• Experience in highly regulated industries
• Experience securing multi-tenant SaaS

Conditions

Base Salary : $155,000 to $215,000 per year

The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills, experience, and relevant education or training.

Equity: Included

Benefits: 401(k) with employer match, health, dental, vision coverage, unlimited paid time off, free lunch in office daily, employee referral bonus program

Relocation: Financial support to ease your move to New York City, designed to make the transition smooth and stress-free.

Location / Office Requirement: Washington, DC (preferred), New York City

Work model: Hybrid

Travel expectation: Travel to NYC headquarters at least once per quarter

To learn more about Norm, visit our website .