Senior Lead ML Engineer — Voice AI Platform & Scale

ServiceNow; San Diego (CA); On-site; USD 181,000 - 317,000; Full time

Benefits offered by this job

Health plans

401(k) Plan with company match

ESPP

Family leave programs

Job summary

ServiceNow in San Diego seeks a Senior Voice AI Engineer to design and scale the core Voice Platform, implementing distributed systems and collaborating with product teams to meet customer needs. You will build reliable AI-enabled workflows and contribute to deployment at scale.

Strong coding in Python/Go/Java, Kubernetes, and DevOps practices are required, along with mentoring responsibilities and a focus on secure, compliant software for a global platform.

Qualifications

• 12+ years 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).
• 4+ 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.
• Critically thinking around AI integrations for work processes, decision-making, or problem-solving.
• Experience building with AI tools such as Claude Code, Cursor, Windsurf

Responsibilities

• 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

Distributed systems

LLM integration

Prompt engineering

Kubernetes DevOps

Software design

AI tooling

Mentoring

Tools

Python

Golang

Java

Job description

ServiceNow in San Diego seeks a Senior Voice AI Engineer to design and scale the core Voice Platform, implementing distributed systems and collaborating with product teams to meet customer needs. You will build reliable AI-enabled workflows and contribute to deployment at scale.

Strong coding in Python/Go/Java, Kubernetes, and DevOps practices are required, along with mentoring responsibilities and a focus on secure, compliant software for a global platform.