It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, 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. And we're just getting started.
Join us to put AI to work for people.
Job Description
We build the evaluation layer that validates AI agents before they reach customers — an automated system that scores across large volumes of agent traces.
You'll own core parts of that platform: the pipeline that runs traces through model-based judges at scale, and the scoring logic that turns raw output into results teams can act on.
What you'll do
- 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
What we're looking for
- 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)
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. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Skills Required
- 5+ years of experience in machine learning, applied AI, prompt engineering, or agentic AI, including shipping products to users
- Strong Python skills
- Practical depth in agentic AI and context engineering, including planning, reasoning, memory, tool use, retrieval, and long-context systems
- Experience designing evaluation methodologies
- Production experience with LLM APIs, prompt engineering, structured output, and cost and latency tradeoffs
- Clear communication with technical and non-technical audiences
- Experience with AI-assisted development tools such as Claude Code or Windsurf
What We Do
As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Why Work With Us
By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.
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Employees engage in a combination of remote and on-site work.
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