Staff Voice AI Engineer – Core Platform
ServiceNow · Posted Oct 9
Cloud-based workflow automation and artificial intelligence platform services
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About the role
ServiceNow's Voice AI Core Platform team builds and operates the core voice platform, covering audio acquisition, conversation management, speech generation, and integration with APIs and self-hosted Voice AI models. The team runs large Voice AI distributed systems at scale across multiple regions and datacenters. This staff-level role involves designing and implementing core platform components, deploying them at scale, improving SRE tooling, and mentoring across Voice AI engineering disciplines.
What you will do
- 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
Skills used in this role
What the employer is looking for
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About ServiceNow
ServiceNow provides an end-to-end cloud-based platform and workflow automation solutions that help enterprises digitize and unify operations. Its platform leverages artificial intelligence and machine learning to streamline IT service management, customer service, and business processes.
- Industry
- Software Development
- Company size
- 10001+ employees
- Founded
- 2004
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $4.08B raised
- 2026-04-17Post IPO Debt$4.00B
Leadership
Chairman and Chief Executive Officer
President and Chief Financial Officer
President, Chief Product Officer and Chief Operating Officer
Chief Technology Officer and EVP, DevOps
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