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, ServiceNow is the AI control tower for business reinvention. Our ServiceNow 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.
Job Description
As an AI-driven cybersecurity company, Machine Learning and Generative AI power the core capabilities that make Armis an industry leader. Our algorithms are the engine behind our advanced Vulnerability Management, Detection, and Remediation (VMDR) platform.
We are looking for a Staff AI Engineer with strong Machine Learning foundations and practical enterprise experience to join the VMDR team. In this role, you will act as a technical builder owning complex problem domains end-to-end, diving deep into cybersecurity nuances, and architecting cutting-edge LLM and ML solutions from initial research all the way to scalable production deployment.
What You’ll Do
End-to-End Ownership: Drive complex AI and ML initiatives through the full product lifecycle from early-stage prototyping and deep domain analysis to production-grade deployment and monitoring.
Architect & Deploy: Design and build production-ready AI models and system pipelines in Python using modern cloud and big data infrastructure (AWS, Spark).
LLM Innovation: Integrate state-of-the-art Generative AI and LLM workflows directly into our core VMDR features to drive automated detection, prioritization, and remediation insights.
Domain Deep-Dives: Partner closely with domain researchers, data engineers, and product leaders to dive into granular cybersecurity data and translate complex security problems into high-impact AI solutions.
Cybersecurity Background: Domain experience in cybersecurity (specifically Vulnerability Management, Asset Intelligence, or Threat Detection) is a big advantage, but not mandatory.
LLM Expertise: At least 2 years of hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, RAG, agentic workflows, and orchestration frameworks (e.g., LangChain, LlamaIndex, vLLM, or similar).
Solid ML Foundations: Deep algorithmic and theoretical knowledge in Machine Learning, supported by an Academic Degree (M.Sc. or Ph.D. preferred) or equivalent research experience.
Production Engineering Skills: 5+ years of software development experience, with strong, production-grade Python coding abilities and experience deploying ML systems at scale.
Self-Driven & Collaborative: An autodidact who naturally takes full ownership of problem domains, stays ahead of emerging AI trends, and thrives in a high-trust, collaborative team environment.
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, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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 [email protected] 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.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Skills Required
- At least 2 years of hands-on experience with Large Language Models, including prompt engineering, fine-tuning, RAG, agentic workflows, and orchestration frameworks
- Deep algorithmic and theoretical knowledge of machine learning
- Academic M.Sc. or Ph.D. in a relevant field, or equivalent research experience
- 5+ years of software development experience
- Strong production-grade Python coding skills
- Experience deploying machine learning systems at scale
- Cybersecurity domain experience, particularly Vulnerability Management, Asset Intelligence, or Threat Detection
ServiceNow Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive with multiple plan choices and strong perceived coverage, alongside mental-health resources and wellbeing support. Company materials and employer-verified summaries also note inclusive care options and supportive programs.
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Parental & Family Support — Parental leave and family-planning support are characterized as generous, with fully paid leave and resources such as fertility, caregiving, and adoption assistance. Backup care and other family-focused programs are also highlighted as part of the package.
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Equity Value & Accessibility — Equity components like RSUs and an employee stock purchase plan are presented as meaningful, widely available parts of total rewards. Many role and benefits overviews emphasize equity’s role in boosting overall compensation alongside bonuses.
ServiceNow Insights
What We Do
As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Why Work With Us
By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.
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