Staff Machine Learning Engineer, Agentic Systems - Moveworks

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.

The Role

Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you.

As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O.

You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation.

What you get to do in this role:

• Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word
• Implement frontier AI algorithms and architectures and help productionize them at scale
• Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
• Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
• Hone your craft in writing robust, extensible, readable, and performant code
• Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen
• Mentor other engineers on the team in how to build, maintain, and evolve great software
• Collaborate with machine learning engineers, learn from each other, and build world-class AI systems

To be successful in this role you have:
 

• 8+ years experience designing, building, and improving production systems, ideally at scale
• Ability to think and communicate clearly about complex engineering problems and systems
• Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence
• Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java
• Desire to ship at a startup pace with a high degree of ownership
• Attention to detail
• Drive to ship product improvements with production-grade code
• Strong appetite for continuous incremental wins and completing challenging projects fast
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of applied AI

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.