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ServiceNow is seeking a Staff Voice AI Engineer to contribute to the design, development, and implementation of the core Voice Platform. This role encompasses Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, and Voice Harness infrastructure.
You will partner with product managers to understand customer use cases and technology challenges, building solutions for their success. The position involves designing and deploying large-scale Voice AI distributed systems spanning multiple regions and datacenters. You will write high-quality, scalable, and reusable code while enforcing best practices in software engineering architecture, code reviews, and unit testing.
A key responsibility is contributing to continuous improvement of SRE practices by translating operational use cases into software tooling requirements. You will mentor colleagues and promote knowledge-sharing across Voice AI engineering disciplines, serving as a technical leader on the platform team.
ServiceNow operates with flexible work personas depending on the nature of work and assigned location. The company is an equal opportunity employer and provides accommodations for candidates requiring accessibility support.
REQUIREMENTS:
- 8+ years of relevant industry experience
- Hands-on experience building distributed Voice AI systems at 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
- 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
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
- Experience building with AI tools such as Claude Code, Cursor, Windsurf
- Experience building software for compliance and security in regulated environments (considered an asset)
