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# Principal Machine Learning Engineer

- **Company:** ServiceNow
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Engineering, Cloud Foundry, Distributed Systems, Python (Programming Language), Machine Learning, System Programming, Cloud Platform System, Delivery Pipeline, Agentic-AI, Build Management, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Servicenow, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_ad19b26837476df680b78c7c96c4029c

## About the Role

* 15+ years of experience building large-scale distributed systems, cloud platforms, infrastructure services, or enterprise SaaS products.
 * Deep expertise in Java, Go, Python, or similar systems programming languages.
 * Proven experience designing, building, and operating highly scalable cloud-native architectures.
 * Expert knowledge of Kubernetes, containers, orchestration platforms, and modern cloud infrastructure.
 * Experience building platform

## Description

In this role you will play a key role in defining and building the cloud-native infrastructure that powers ServiceNow's next generation of Agentic AI and conversational experiences. As a Principal Engineer, you will drive architecture and technical strategy across multiple engineering organizations while remaining deeply hands-on in solving complex platform and scalability challenges.

 * Lead the technical direction, architecture, and evolution of cloud-native platform services supporting Agentic AI initiatives.
 * Drive the design and implementation of scalable Kubernetes-based infrastructure that supports AI/ML and conversational workloads at enterprise scale.
 * Partner with engineering, infrastructure, product, and platform teams to modernize critical services and accelerate the transition to next-generation architectures.
 * Design and build highly available, secure, observable, and resilient distributed systems supporting mission-critical customer workloads.
 * Establish architectural standards, engineering best practices, and platform patterns that can be leveraged across multiple product teams.
 * Drive automation across infrastructure provisioning, deployment pipelines, service operations, monitoring, and incident response.
 * Evaluate and adopt emerging technologies in cloud-native infrastructure, Kubernetes, AI platforms, and distributed systems.
 * Mentoring senior engineers and providing technical leadership through influence across organizational boundaries.
 * Lead architecture reviews and provide guidance on scalability, reliability, performance, security, and operational excellence.
 * Partner closely with teams developing AI-powered experiences to ensure underlying infrastructure can support future growth and innovation.
 * Work with stakeholders across the organization to balance long-term platform investments with near-term product delivery goals.
 * Own technical initiatives from concept through production deployment while helping shape the future direction of ServiceNow's Agentic AI platform.