Agent Solution Architect (Logistics)
Core
Design, build, and maintain AI agent workflows to automate carrier monitoring, performance tracking, exception management, and escalation processes in global logistics operations.
Role type
Senior individual contributor agent solution architect (prompt engineering)
Builds
Custom AI agent workflows for carrier, lane, or account-specific operational needs
Domain
Logistics technology / Supply chain AI
Deliverable
production ML models
Required skills
Prompt engineering, LLM behavior understanding, AI workflow design, carrier operations knowledge, EDI/API troubleshooting, cross-functional collaboration, customer partnership, operational governance
Preferred skills
Global logistics experience, multi-region operations, AI tool/platform familiarity, structured experimentation
Technologies
Large Language Models (LLMs), AI automation platforms, EDI, APIs, data pipelines, workflow orchestration tools
Responsibilities
Design and optimize AI agent workflows for logistics operations; Write, test, and iterate prompts for LLMs; Partner with Product, Engineering, and Operations to define agent requirements; Collaborate with customers to tailor agent workflows and drive iterative improvements; Monitor agent performance and resolve drift or failure modes; Contribute to team training and documentation on AI capabilities.
Seniority
Senior, hands-on IC
