Engineering Manager, AI-Driven Automation & Service Reliability

Stanfordlivetickets; Redwood City (CA); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Stanford University IT Infrastructure seeks an Engineering Manager, Automation & Service Reliability to lead a team responsible for integration platforms, robotic process automation, and data services. The role blends technical leadership with people management in a hybrid setting at Stanford's Redwood City facilities.

The manager guides architecture across AI solutions, ensures production reliability, and champions agentic AI initiatives, piloting AI agents and LLM-powered workflows across key

Responsibilities

• Lead, manage and grow a team of four engineers including training, goal-setting, performance reviews, and individual development plans.
• Guide architecture and design decisions across AI solutions, Mulesoft integrations, UiPath automations, Oracle APEX applications, and data pipelines.
• Own service reliability for production systems (SIPdb, TDC, data feeds) including incident response, root-cause analysis, and preventive engineering.
• Establish and maintain an intake process for new automation requests, prioritizing the team's backlog against ServiceNow requests and strategic initiatives.
• Define and drive a roadmap for applying agentic AI — AI agents and LLM-powered workflows with multi-step reasoning and action across platforms.
• Stand up pilots for agentic AI use cases and define success metrics before scaling to production.
• Evaluate AI tooling, platforms, and integration patterns, and build guardrails around security and data handling.

Skills

Technical leadership

People management

Architecture decisions

Data workflows

AI strategy

Tools

Mulesoft

UiPath

Oracle APEX

Job description

Stanford University IT Infrastructure seeks an Engineering Manager, Automation & Service Reliability to lead a team responsible for integration platforms, robotic process automation, and data services. The role blends technical leadership with people management in a hybrid setting at Stanford's Redwood City facilities.

The manager guides architecture across AI solutions, ensures production reliability, and champions agentic AI initiatives, piloting AI agents and LLM-powered workflows across key