Warehouse AI Orchestration Lead

Loadsmart•Chicago / Remote, IL

4d•Hybrid

About The Position

Loadsmart is seeking a Warehouse AI Orchestration Lead to extend its AI agent platform into warehouse operations. The role focuses on how AI agents operate across warehouse systems and processes, particularly where the WMS connects with yard, dock, TMS, and ERP systems and where manual exception work occurs. The position will map cross-system workflows, prioritize automatable warehouse exceptions, specify agent behavior and human oversight, and design integrations with tier-one WMS platforms. The role works closely with engineering, warehouse operators, design-partner customers, sales, and solutions teams. The position is based in Chicago on a hybrid basis, with travel to customer sites up to about 15%.

Requirements

6–10 years of experience across warehouse operations and WMS implementation, integration, or solution consulting.
Hands-on experience with at least two of the following: Manhattan (WMOS or Active WM), Blue Yonder WMS, SAP EWM, Oracle WMS Cloud, Körber/HighJump, or Infor WMS.
Fluency in the WMS object model, including ASNs, receipts, LPNs, putaway, replenishment, waves, tasks, picking, load building, and ship confirm.
Experience building or specifying WMS–TMS–ERP integrations, including EDI 856/940/945, APIs, or middleware, and understanding of production integration failures.
Distribution center floor experience as a supervisor, engineer, analyst, or during go-lives, with familiarity with how work happens in practice.
Product instinct and preference for building repeatable products rather than configuring solutions separately for each customer.
Comfort with ambiguity and working closely with fast-moving engineers.

Nice To Haves

Experience with yard, dock scheduling, or labor management systems.
Exposure to AI agents, LLM-based automation, or orchestration platforms.
Pre-sales or solution consulting experience with enterprise shippers.
Spanish or Portuguese fluency.

Responsibilities

Document cross-system workflows from dock to stock and order to ship, identifying where events, objects, and decisions reside across WMS, YMS, TMS, and ERP systems.
Rank warehouse exception workflows by frequency, cost, and automation potential, and determine which workflows AI agents should handle first.
Define what each agent senses, decides, and does, including what it may write back to the WMS and where human involvement is required.
Work with engineering to design integrations for reading from and writing to tier-one WMS platforms using APIs, events, EDI, flat files, and middleware.
Spend time on distribution center floors with design-partner customers and work with warehouse operators.
Serve as the warehouse domain expert to engineers.
Help sales and solutions teams pitch and scope warehouse use cases with distribution leaders and their IT teams.