Principal Machine Learning Engineer
Servicenow•3h ago
United StatesRemote$216.1K–$378.2KFull-timePrincipal Level15+ yrs exp
H-1B verified · 143 LCAs
Top focus
Ml EngineerPrincipal EngineerSenior Ml EngineerDeep Learning EngineerRl Engineer
- 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
- any workflow— helping 85% of the Fortune 500® work smarter, faster
- 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.
- Overview Enterprise AI is ServiceNow's horizontal capability team, building the operating model, technical foundation
- Customer Zero motion for AI governance at enterprise scale, including AI Control Tower, the AI agent orchestrator
- the AI agent fabric on the ServiceNow AI platform. As Principal Engineer, Agentic AI Systems, you will serve as the senior-most technical multiplier for the Enterprise AI organization, setting architecture and technical direction for one of ServiceNow's biggest engineering opportunities: making an enterprise-scale workforce of AI agents governable, secure, observable
- worth trusting. What You'll Do Define the multi-year technical architecture for the AI Control Tower portfolio, agent governance, orchestration, lifecycle management, interoperability, observability, evaluation
- AI security, as one coherent platform. Establish an AI-forward developer experience that embeds agents into planning, coding, testing, review, deployment
- operations, with the standards and guardrails to make it safe and measurable. Define operational excellence for autonomous and semi-autonomous agents, including reliability, incident response, rollback, kill-switch
- auditability standards. Act as the technical multiplier across AI engineering, data and ML, infrastructure, product, DevOps, security
- GRC, brokering cross-domain choices and resolving design conflicts on technical merit. Turn ServiceNow's own Customer Zero experience into structured product feedback for AI Control Tower and related platform capabilities. Prototype and incubate new patterns in multi-agent orchestration, agent evaluation
- AI governance automation
- publish reference architectures that accelerate reuse. Mentor principal and senior engineers, raise hiring standards
- build the AI fluency that makes this team a model for AI-ready engineering.
- To be successful in this role you have: 15+ years of software engineering experience, including 5+ years operating at a principal, senior staff
- director-equivalent scope, setting technical strategy across multi-team organizations without relying on direct reporting authority. Deep, current, hands-on expertise in agentic AI and LLM-based systems, multi-agent orchestration, RAG, evaluation frameworks, LLMOps/MLOps, AI observability
- AI governance and security. Experience architecting enterprise-scale cloud platforms, distributed systems, developer platforms, data platforms
- DevOps/CI-CD automation. A demonstrated track record of transforming how engineering organizations build, test
- ship software, ideally with AI-assisted or agentic coding tools. Strong judgment in ambiguous technical domains where architecture, product, security, operations
- business value intersect. Builder credibility: you still write code, prototype fast
- lead by demonstration. Executive communication skills, with the ability to frame technical strategy and trade-offs for VP, C-level, customer, pundits
- partner audiences. Preferred Qualifications Experience with ServiceNow or a comparable enterprise workflow platform (ITSM, CMDB, GRC). Experience with MCP, A2A, tool-calling architectures
- LLM/AI gateways. Visible technical guidance through publications, talks, patents
- open-source contributions. For positions in this location, we offer a base pay of $216,100 - $378,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline
- individual total compensation will vary based on factors such as qualifications, skill level, competencies
- work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
- Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote
- 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
- 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
- are unable to use this 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. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Required skills
AIMLcloud computingdistributed systemsDevOpsCI-CDsoftware engineeringAI governanceAI securitymulti-agent orchestrationLLMOpsMLOpsobservability