Automation Expert

generis Tek • Detroit, MI

3d • Remote

About The Position

The Automation Expert is a subject matter expert supporting evaluation of material handling automation, storage strategy, material flow, and warehouse/LOC capacity in an automotive manufacturing environment. The role develops practical recommendations for automation technologies, storage systems, replenishment strategies, and inventory placement while layouts, PFEP data, and operating assumptions are still evolving.

This is a two-month contract-to-hire opportunity, with work performed remotely and occasional visits to the client site. The listed location options are Detroit, Michigan, or Kansas City, Kansas; the posting also describes the client location as Kansas City, Missouri. Pay is $55–$60 per hour on W-2.

Requirements

• 10+ years of experience in automotive logistics, in-plant logistics, material handling equipment automation, ASRS design or evaluation, AMR/AGV deployment projects, or industrial engineering.
• Experience leading or supporting selection, evaluation, sizing, or deployment of material handling automation systems.
• Experience comparing automation approaches based on throughput, storage requirements, labor, utilization, and ROI.
• Experience with material handling system selection and evaluation.
• Experience with automotive supplier parks, sequencing centers, or 3PL operations.
• Ability to work with incomplete or evolving planning inputs and build defensible recommendations from assumptions.

Nice To Haves

• ASRS design or evaluation experience.
• AMR/AGV deployment project experience.
• Warehouse automation business-case development experience.
• Experience in highly automated manufacturing or distribution environments.
• Simulation, modeling, or Digital Twin support experience.

Responsibilities

• Recommend suitable material handling technologies, including Autonomous Fork Trucks (AFTs), goods-to-person systems, and automated conveyance systems.
• Define fleet sizing, storage-density assumptions, throughput assumptions, and operating constraints.
• Develop alternative automation concepts and compare operational tradeoffs.
• Recommend physical equipment configurations for simulation and Digital Twin scenario analysis.
• Develop defensible recommendations using assumptions when planning inputs are incomplete or evolving.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed