About the company
ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow—helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.
Responsibilities
- Design evaluation methodologies and benchmarks for agent reasoning, planning, tool use, reliability, and safety — across LLM-as-a-Judge, trajectory-based, and human evaluation.
- Take problems from research question to prototype to shipped feature, owning them end to end.
- Build and harden the pipelines and scoring logic behind customer-facing evaluation.
- Curate synthetic and real-world datasets; measure the evaluator itself for consistency and agreement with human labels.
Requirements
- 5+ years in ML, applied AI, prompt engineering, agentic AI, including shipping something real to users.
- Strong Python skills.
- Practical depth in agentic AI and context engineering: planning, reasoning, memory, tool use, retrieval, long-context.
- Experience designing evaluation methodologies, not just running evaluations.
- Hands-on production work with LLM APIs — prompt engineering, structured output, cost and latency tradeoffs.
- Clear communication with technical and non-technical audiences.
- Good to have: Experience with AI-assisted development tools (Claude code, Windsurf, or similar).
Conditions
- Work Personas: We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location.