Staff AI-Native Software Engineer

ServiceNow; United States; Hybrid; USD 150,000 - 200,000; Full time

Job summary

ServiceNow is seeking a Staff Software Engineer in AI Native Development within Security and Risk Engineering. You will own major subsystems end-to-end, shaping the architecture and guiding AI-native production systems at scale.

Lead the technical direction across frontend, backend, APIs, data, and cloud infrastructure while collaborating with product, design, platform, and security teams. You will mentor engineers and drive improvements in reliability and AI quality.

Qualifications

• 8+ years of software engineering experience in production environments.
• Strong full-stack engineering capabilities across frontend, backend, APIs, data, and cloud infrastructure.
• Expert-level programming in Python and/or Java, Go, or TypeScript.
• Experience delivering AI/ML-powered production systems with modern AI tech (LLMs, agentic workflows).
• Ability to design scalable, secure, observable systems and supervise architecture reviews.

Responsibilities

• Own major systems end-to-end including architecture, design, implementation, and evolution.
• Define technical vision and architecture, including interfaces with other systems and teams.
• Drive measurable outcomes for reliability, performance, AI quality, latency, and cost.
• Lead architecture and engineering practices for AI-native applications at scale.
• Provide technical leadership and mentorship across the workstream.
• Kindly collaborate with product, design, platform, data, security, and other teams to translate customer problems into scalable solutions.

Skills

Python

Java

Go

TypeScript

Cloud-native

Distributed systems

AI/ML production

LLMs / AI observability

Education

Bachelor’s or Master’s in CS/AI/ML

Tools

Kubernetes

SQL/NoSQL databases

Job description

ServiceNow is seeking a Staff Software Engineer in AI Native Development within Security and Risk Engineering. You will own major subsystems end-to-end, shaping the architecture and guiding AI-native production systems at scale.

Lead the technical direction across frontend, backend, APIs, data, and cloud infrastructure while collaborating with product, design, platform, and security teams. You will mentor engineers and drive improvements in reliability and AI quality.