Senior Staff AI Engineer — Enterprise Agentic Systems Lead

ServiceNow; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Generous family leave

Matched donations

Annual learning stipends

Flexible PTO

Competitive retirement plan

Paid volunteer time

Job summary

ServiceNow’s Access AI team builds agentic AI powering enterprise-scale actions for Identity Security products. You will architect, build, and operate production-grade autonomous agents that reason over enterprise data and execute mission-critical actions at Fortune 500 scale.

As a tier-one technical leader, you will shape architectural patterns, guardrails, and the strategic vision for safe, scalable autonomous systems, collaborating across product and platform teams to ground agents in robust

Qualifications

• 8+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems.
• Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics.
• Production-grade Python. Systems language (Go, Java, or C++) is a plus.
• Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings.
• Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices.

Skills

8+ years software engineering

Familiarity with RAG

Production-grade Python

Go/Java/C++

Frontier AI SDKs

Leadership/mentoring

Agentic systems design

Large-scale backend systems

Tools

Anthropic SDKs

Google OpenAI SDKs

Job description

ServiceNow’s Access AI team builds agentic AI powering enterprise-scale actions for Identity Security products. You will architect, build, and operate production-grade autonomous agents that reason over enterprise data and execute mission-critical actions at Fortune 500 scale.

As a tier-one technical leader, you will shape architectural patterns, guardrails, and the strategic vision for safe, scalable autonomous systems, collaborating across product and platform teams to ground agents in robust