Senior Staff ML Engineer, AI Safeguards - Moveworks

About Moveworks and ServiceNow

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. The platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, proprietary models, and a sophisticated Agentic AI platform, Moveworks transforms how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world's largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. The company has been recognized on the Forbes Cloud 100 and AI 50 lists, named one of Fast Company's 2025 Most Innovative Companies and Inc's Best in Business in the Best in Innovation category. Moveworks was recognized as Microsoft's 2025 Partner of the Year and received the AI Breakthrough Award in 2024.

In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in creating a single front door to work for all business systems. By combining ServiceNow's leading workflow automation with Moveworks' Reasoning Engine and natural language capabilities, the combined organization delivers the AI platform for every person and every workflow.

ServiceNow is a global market leader bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500. The intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

About the Role

Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure.

Responsibilities

• Build evals that measure safeguard efficacy on both false and true positives, using datasets from customer reports, adversarial testing and production traffic
• Work closely with the Security team: turn their adversarial findings into eval cases and fixes, and build mitigations together that hold when detection misses
• Select, integrate and fine-tune detection models within a stack shared by commercial and government environments
• Balance quality, latency and cost for controls that run in the request path
• Build configurable safeguard policies so customers can decide how sensitive topics are handled
• Monitor safeguard behavior in production and fix regressions

Qualifications

• Typically 8 or more years building production software, including 3 or more years of applied ML (training, evaluating and deploying models in production systems)
• Hands-on experience developing safeguards for LLMs, such as guardrail models, content classifiers, prompt injection or jailbreak detection, or safety evals
• Strong model evaluation fundamentals for agent trajectories and text classification, and attention to the quality of training and evaluation data
• Working knowledge of how LLM safeguards get bypassed, including indirect prompt injection through tools and documents, and multi-turn jailbreaks
• Excellent Python experience

Compensation and Benefits

Base Pay: $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits

Benefits include:

• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• ESPP
• Matching donations
• Flexible time away plan
• Family leave programs

Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Work Arrangements

ServiceNow approaches its distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories assigned to ServiceNow employees depending on the nature of their work and their assigned work location. 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 and Accommodations

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.

ServiceNow strives 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 the online application and need an alternative method to apply, please contact globaltalentss@servicenow.com 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.