Senior Staff Machine Learning Engineer
Core
Design, build, and operate production-grade agentic AI systems that reason over enterprise data, take action across workflows, and ensure safety at Fortune 500 scale.
Role type
Senior Staff Machine Learning Engineer (Agentic AI Systems)
Builds
Autonomous agents, multi-agent orchestration systems, and agentic AI infrastructure embedded in ServiceNow's platform.
Domain
Enterprise AI, Agentic Systems, Distributed Systems
Deliverable
production ML models
Required skills
Multi-agent orchestration, tool calling, planning loops, memory management, failure recovery, production-grade Python, frontier AI SDKs (Anthropic/Google/OpenAI), RAG pipelines, hybrid search, vector stores, technical leadership, architecture ownership, mentoring
Preferred skills
Search and retrieval at scale, MLOps, model observability, LLM fine-tuning, inference optimization
Technologies
Anthropic, Google, OpenAI, Go, Java, C++, MCP, NVIDIA
Responsibilities
Design multi-agent systems for production reliability; build agents leveraging ServiceNow data layers (CMDB, Workflow Data Fabric); own guardrails for observability and compliance; integrate frontier models into Sense-Act-Govern architecture; set architectural patterns and raise design standards.
Seniority
Senior Staff, hands-on IC with technical leadership
