Staff Voice AI Engineer – Core Platform

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.

As a Staff Voice AI Engineer – Core Platform you will: Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness) Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines Qualifications To be successful in this role you have: 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. 8+ year of relevant industry experience Hands-on experience building distributed Voice AI systems with a large operational scale ~4+ years building LLM-based applications (integrating models, not training) 6+ years of development experience with Python, Golang, Java, or similar languages. 2+ years of experience building agents (prompt engineering) and developing LLM-based experiences Working experience operating highly available distributed workloads on Kubernetes following a DevOps approach. Experience building software for compliance and security in regulated environments is considered an asset A proven track record of architecting and shipping distributed Voice AI or voice platform systems (real-time audio, STT/TTS, telephony or WebRTC) at large operational scale Critically thinking around AI integrations for 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. Experience building with AI tools such as Claude Code, Cursor, Windsurf Additional Information 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.

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,