Principal Machine Learning Engineer

ServiceNow is a company focused on freeing people from busywork through AI technology. They are seeking a Principal Machine Learning Engineer to lead the architecture and technical direction for their AI governance initiatives, ensuring the security and reliability of AI systems at enterprise scale.

Responsibilities:

• Define the multi-year technical architecture for the AI Control Tower portfolio, agent governance, orchestration, lifecycle management, interoperability, observability, evaluation, and AI security, as one coherent platform
• Establish an AI-forward developer experience that embeds agents into planning, coding, testing, review, deployment, and 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, and auditability standards
• Act as the technical multiplier across AI engineering, data and ML, infrastructure, product, DevOps, security, and 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, and AI governance automation, and publish reference architectures that accelerate reuse
• Mentor principal and senior engineers, raise hiring standards, and build the AI fluency that makes this team a model for AI-ready engineering