Principal Machine Learning Engineer - Agentic AI at ServiceNow

About the Role

We are looking for a Principal ML Engineer with expertise in Agentic AI Design to lead the development of autonomous AI systems at ServiceNow. This role involves architecting and implementing sophisticated agentic solutions that can reason, plan, and execute complex tasks with minimal human intervention.

Key Responsibilities

• →Design and architect multi-agent systems with sophisticated reasoning, planning, and tool-use capabilities
• →Build agent orchestration frameworks that coordinate multiple specialized agents to solve complex enterprise workflows
• →Develop agentic patterns including ReAct, Chain-of-Thought, Tree-of-Thoughts, and self-reflection mechanisms
• →Implement robust agent memory systems, context management, and state persistence for long-running agentic workflows
• →Create evaluation frameworks and safety guardrails specifically for autonomous agent behavior
• →Build the best cloud-based agentic AI/ML solutions to power intelligent, autonomous enterprise services
• →Collaborate daily with a team of developers, product managers, and quality engineers to produce quality agent-based software
• →Work with product owners to understand detailed requirements and own your code from design to delivery
• →Develop adversarial testing strategies for agent systems and implement safety mechanisms
• →Ensure secure agent deployment with proper sandboxing, permission management, and audit capabilities
• →Ensure compliance with emerging AI safety regulations for autonomous systems
• →Deliver MVP and production agent systems rapidly leveraging experience with the ServiceNow Platform
• →Make architectural trade-off decisions for agent systems that reduce rework and technical debt