> Markdown version of [/jobs/ext/2964774-principal-systems-engineer](https://www.wearedevelopers.com/jobs/ext/2964774-principal-systems-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Systems Engineer - **Company:** ServiceNow - **Location:** New York, NY, United States (Remote available) - **Salary:** $221,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Systems Engineering, Microsoft Azure, Programming Tools, Python (Programming Language), Machine Learning, Cloud Services, Software Engineering, Multi-Agent Systems, Containerization, Kubernetes, Information Technology, Docker, Servicenow - **Published:** September 17, 2026 - **Apply:** https://jobs.smartrecruiters.com/ServiceNow/744000149954299-principal-systems-engineer ## About the Role * An AI Expert in Multi-agentic solutions. * Demonstrated experience building real AI solutions - agents, assistants, copilots, or skills - that shipped and got used, not just prototyped. * Deep, hands-on familiarity with modern agent frameworks and developer tooling (agent SDKs such as the Top 3 providers SDKs (Claude, OpenA and Google), thorough understanding and use of SKILL.md skills standard, plus the judgment to know which to reach for when. * Strong evaluation discipline: building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment. * Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization (Docker, Kubernetes). * Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience. Preferred Experience in security, or building AI for security use cases ## Description Armis is seeking talented, motivated AI builders to join our Strategic Initiatives team as part of a new AI Center of Excellence. Reporting to the SVP of Strategic Initiatives, this team designs and ships AI-native solutions - agents, assistants, and reusable skills - that advance Armis's security mission and multiply the impact of teams across the company. This is a builder role. We're looking for engineers fluent in modern AI application development - agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation - not machine learning engineers. You will be expected to train foundation models / frontier models . You will compose capable, production-grade AI systems on top of frontier models, get them into people's hands, and bring the rigor to prove they actually work. What you'll do * Design, build, and bring to production ready: models, AI agents, assistants, and reusable skills that solve real problems for Armis and its customers. * Turn ideas into working MVPs fast, then partner with engineering to harden them into reliable, production-ready systems. * Build evaluation into everything you ship - define what "good" means for each solution, measure it, and hold the bar. Due diligence through rigorous evals is non-negotiable, not an afterthought. * Compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls. * Select and integrate the right frameworks, tools, and models for each job, and turn what works into reusable patterns and best practices for the COE. * Also be a part of the COE Consult team to help across the organization. * Document what you build and how it should be used, operated, and evaluated., 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. ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)