Senior AI Systems Engineer, Evaluation & Orchestration

Servicenow

Mountain View (CA)

On-site

USD 161,000 - 274,000

Full time

14 days+

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Benefits offered by this job

Health plans
401(k) with company match
Employee stock purchase plan (ESPP)
Matching donations
Flexible time away

Job summary

ServiceNow seeks a senior backend/infrastructure engineer to build and operate evaluation and observability tooling for its enterprise AI agent platform. You will design runtimes for multi-turn agent scenarios, implement calibration against human labels, and drive scalable, reproducible experiments across production-scale datasets.

The role emphasizes Python/Go expertise, OpenTelemetry tracing, and building non-deterministic systems that yield meaningful evaluation signals.

Qualifications

  • 5+ years building production backend or infrastructure systems
  • Strong in Python or Go (ideally both)
  • Experience designing and operating systems that handle real traffic at scale
  • Comfort making a non-deterministic system measurable
  • Comfort with observability tools and tracing (OpenTelemetry)

Responsibilities

  • Build the judgement layer of the agent evaluation platform with rubrics and calibration against human labels
  • Own the eval orchestration at scale: run multi-turn agent scenarios, transcripts, and final state collection
  • Consolidate evals into a single orchestration service with a single source of truth
  • Lead observability efforts: OpenTelemetry-native tracing and data models for agent trajectories
  • Design and operate stateful simulation environments that mimic enterprise systems

Skills

Python
Go
OpenTelemetry
Distributed systems
Orchestration
Observability
Async programming
gRPC/protobuf

Tools

Temporal
Airflow
Argo
OpenTelemetry

Job description

ServiceNow seeks a senior backend/infrastructure engineer to build and operate evaluation and observability tooling for its enterprise AI agent platform. You will design runtimes for multi-turn agent scenarios, implement calibration against human labels, and drive scalable, reproducible experiments across production-scale datasets.

The role emphasizes Python/Go expertise, OpenTelemetry tracing, and building non-deterministic systems that yield meaningful evaluation signals.

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