Senior Voice AI Engineer — Scale Distributed LLM Systems

ServiceNow; Washington; On-site; USD 201,000 - 352,000; Full time

Job summary

ServiceNow is seeking a senior Voice AI engineer to design, develop, and deploy the core Voice Platform. You will work with product managers to understand customer use cases, build scalable AI-powered systems, and ensure high availability across multiple regions and data centers.

You will contribute to code quality, SRE practices, and mentoring within the Voice AI team, leveraging Python, Golang, Java and Kubernetes in a DevOps environment.

Qualifications

• 12+ years of relevant industry experience.
• Experience building distributed Voice AI systems at scale.
• 4+ years building LLM-based applications.
• 2+ years of experience building agents (prompt engineering) and developing LLM-based experiences.
• Experience operating highly available distributed workloads on Kubernetes with a DevOps approach.
• Experience building software for compliance and security in regulated environments is considered an asset.
• Critical thinking around AI integrations for work processes and decision-making.

Responsibilities

• Contribute to the design, development and implementation of the core Voice Platform.
• Partner with product managers to understand customer use cases and challenges.
• Build and deploy large Voice AI distributed systems across regions and data centers.
• Write high-quality, scalable, maintainable code with best practices.
• Contribute to the ongoing improvement of the SRE practice.
• Mentor colleagues and promote knowledge sharing across Voice AI engineering teams.

Skills

Distributed Voice AI

LLM integrations

Python

Golang

Java

Kubernetes

DevOps

Claude Code

Cursor

Windsurf

Tools

Voice Platform tooling

Job description

ServiceNow is seeking a senior Voice AI engineer to design, develop, and deploy the core Voice Platform. You will work with product managers to understand customer use cases, build scalable AI-powered systems, and ensure high availability across multiple regions and data centers.

You will contribute to code quality, SRE practices, and mentoring within the Voice AI team, leveraging Python, Golang, Java and Kubernetes in a DevOps environment.