Senior AI-Native Systems Engineer

ServiceNow

Santa Clara (CA)

On-site

USD 191,000 - 334,000

Full time

4 days ago
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Job summary

ServiceNow is seeking an experienced AI Engineer and Delivery leader to design, build, and operate production-grade agentic AI systems embedded across the platform. You will focus on multi-agent orchestration, tool use, and memory management at Fortune 500 scale.

You will lead architecture decisions, mentor engineers, and collaborate with frontier AI SDK teams to optimize performance, cost, and safety in enterprise environments.

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.
  • Nice to Have: Deeper specialization in search and retrieval at scale or MLOps/model observability.
  • Published work or open-source contributions in agentic systems or retrieval.
  • Exposure to LLM fine-tuning or inference optimization in production.

Responsibilities

  • Design, build, and operate production-grade agentic AI systems embedded across ServiceNow's platform — autonomous agents that reason over enterprise data, take action across workflows, and run safely at Fortune 500 scale.
  • Lead architecture decisions, code reviews, and mentoring engineers on production AI practices.
  • Collaborate with frontier AI SDK teams to integrate models and evaluate cost, latency, and capability in production.
  • Ensure robustness, safety, and governance of agentic systems within enterprise environments.
  • Drive engineering leadership to raise the technical bar across projects.

Skills

Agentic systems design
Production-grade Python
Frontier AI SDKs
RAG and retrieval patterns
Technical leadership

Tools

Anthropic SDK
Google SDK
OpenAI SDK

Job description

ServiceNow is seeking an experienced AI Engineer and Delivery leader to design, build, and operate production-grade agentic AI systems embedded across the platform. You will focus on multi-agent orchestration, tool use, and memory management at Fortune 500 scale.

You will lead architecture decisions, mentor engineers, and collaborate with frontier AI SDK teams to optimize performance, cost, and safety in enterprise environments.

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