ServiceNow
Principal AI Platform Engineer
$221K–$387K
Santa Clara, California, United States · Principal · Full-time · Posted Oct 26, 2026
- Experience
- 15 years with a bachelor’s degree in computer science; or 12 years with a Master's degree; or a PhD with 8 years’ experience; or equivalent experience.
- Education
- Bachelor’s degree in computer science, Software Engineering, or a related technical field, or equivalent practical experience.
About the job
Leads customer-facing architecture and production deployment of agentic AI solutions for ServiceNow CRM and Industry workflows, while setting reusable technical standards and guiding the FDE group.
What you'll do
- Analyze customer processes and translate needs into agentic AI use cases; architect and deploy solutions into production.
- Set group-wide architecture, reusable patterns, and quality, security, and reliability practices; mentor engineers.
- Advise customers and relay field learnings to ServiceNow product and engineering teams.
What they ask for
- Track record designing, deploying, and operating production software and AI solutions in customer-facing settings, leading complex engagements to business outcomes.
- Extensive customer-facing solution delivery experience in forward-deployed, professional services, solution architecture, or comparable roles.
- Hands-on experience designing and operating autonomous agent systems, with working knowledge of LLM behavior, evaluation, and production failure modes.
- Expert-level system design and integration; knowledge of AI-system security and reliability; strong customer communication and technical leadership.
Nice to have
- Knowledge of the ServiceNow platform and CRM & Industry domains, including sales automation, CPQ, customer service, and field service.
- Advanced degrees or relevant certifications.
Pay
$221,200 - $387,100 USD base salary
Tools
ServiceNow platform, LLM
AI focus
Design, deploy, and operate customer-facing agentic AI systems, including agent workflows, tool invocation, memory, context design, guardrails, evaluation, and production verification.
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