Staff Machine Learning Engineer
Core
Design, build, and operate production-grade agentic AI systems embedded across ServiceNow's platform, including multi-agent orchestration, enterprise-grounded reasoning, and trust/safety governance.
Role type
Staff Machine Learning Engineer (Agentic AI Systems)
Builds
Autonomous agents that reason over enterprise data, take action across workflows, and run safely at Fortune 500 scale.
Domain
Enterprise Software / Agentic AI / Search & Retrieval
Deliverable
production ML models
Required skills
Agentic system architecture, multi-agent orchestration, enterprise data integration (CMDB, Knowledge Graph), trust and safety governance, RAG pipelines, model integration and evaluation, technical leadership
Preferred skills
Search and retrieval at scale, MLOps/model observability, LLM fine-tuning, inference optimization
Technologies
Python, Go, Java, C++, Anthropic, Google, OpenAI, vector stores, hybrid search
Responsibilities
Design and ship multi-agent systems with orchestration, tool use, planning loops, and failure recovery; Build agents leveraging ServiceNow's data layer for context-aware decisions; Own guardrails including observability, human-in-the-loop controls, and compliance infrastructure; Work on retrieval and grounding with RAG pipelines and hybrid search; Integrate frontier models into Sense → Decide → Act → Govern architecture; Raise technical bar through architecture decisions, code reviews, and mentoring
Seniority
Staff, hands-on IC with leadership
