Senior AI-Native Systems Engineer

Servicenow; San Francisco (CA); On-site; USD 191,000 - 334,000; Full time

Benefits offered by this job

Health plans

Flexible spending accounts

401(k) with company match

ESPP

Matching donations

Flexible time away

Family leave

Job summary

ServiceNow is seeking an experienced AI engineer to design, build, and operate production-grade agentic AI systems across our platform. You will focus on multi-agent orchestration, tool use, planning loops, memory, and safe failure recovery.

You will push for robust governance, observability, and human-in-the-loop controls while integrating frontier models and evaluating cost, latency, and capability for enterprise use cases. This role lives in San Francisco with global impact.

Qualifications

• 8+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems.
• Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery.
• 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.
• Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics.
• Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices.

Responsibilities

• Design, build, and operate production-grade agentic AI systems embedded across ServiceNow's platform — autonomous agents that reason over real enterprise data, take action across workflows, and run safely at Fortune 500 scale.
• Design and ship multi-agent orchestration, tool use, planning loops, memory, and failure recovery for production environments.
• Implement guardrails: observability, human-in-the-loop controls, and governance for safe, scalable AI deployments.
• Collaborate with frontier model providers and internal teams to integrate models into Sense → Decide → Act → Govern architecture.

Skills

Agentic architecture

Enterprise-grounded reasoning

Trust, safety, governance

Retrieval and grounding

Model integration

Engineering leadership

Job description

ServiceNow is seeking an experienced AI engineer to design, build, and operate production-grade agentic AI systems across our platform. You will focus on multi-agent orchestration, tool use, planning loops, memory, and safe failure recovery.

You will push for robust governance, observability, and human-in-the-loop controls while integrating frontier models and evaluating cost, latency, and capability for enterprise use cases. This role lives in San Francisco with global impact.