AI Security Engineer | Application and Product Security

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

PLEASE NOTE : This role requires a minimum of 2 days per week in our San Diego, CA or Chicago, IL ServiceNow Offices. Please do not apply if you cannot meet this requirement. Thank you.

The ServiceNow Security Organization (SSO) :

The ServiceNow 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

We're looking for an experienced AI Security Engineer to join our team. This person will be responsible for helping build and design solutions for LLM Model Scanning and security concerns.

You'll work at the intersection of application security, AI governance, and advanced ML frameworks, helping shape enterprise-level standards for safe and responsible AI adoption.

Core Responsibilities :

Design, and solve cutting edge AI security problems for LLM Models built in ServiceNow within the Application Security space

Research emerging LLM Model threats, and methods to reduce risk for an enterprise organization

Researching and recommending enterprise level controls for reducing AI or LLM Model security risks.

Maintain, build, and keep services within acceptable SLA standards for reliability and operational excellence

Key Requirements :

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.

2+ Years of experience as a Security Engineer or similar experience with education

Familiar with building a GenAI product and put into production

Familiar with Application Security Concepts & Tools (Such as SAST, DAST, SCA, OWASP Top Ten, SDLC)

Experience with DevSecOps practices and concepts, such as CI / CD Pipeline Security, container security

Good understanding of Cloud Services and Infrastructure, Ideally AWS

A good level of programming languages such as Python, Rust or Go, and Juypter notebooks

Knowledge of ML frameworks such as PyTorch, TensorFlow, HuggingFace

An understanding of AI Governance, privacy, compliance frameworks

An understanding of AI Model development, adversarial attacks (evasion, poisoning, backdoors) of models, prompt injection, and LLM misuse

Nice to haves :

Familiar with Jenkins

Familiar with ServiceNow Development

Experienced in integrating vendor security tools into custom enterprise solutions

Bachelor's or Master's degree in Computer Science, Artificial intelligence, or a related field

#SecurityJobs

For positions in this location, we offer a base pay of : $123,500 to $191,500, plus equity (when applicable), variable / incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here () . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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