Senior Logistics AI and Automation Specialist

WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.

ESSENTIAL DUTIES AND RESPONSIBILITIES: As the AI Logistics Automation Specialist, you will support the design, building, and prototyping of AI agent workflows for supply chain and logistics operations at Western Digital. Working under the guidance of senior engineers and project leads, you will help connect AI agents, visibility platforms, and automation tools to improve logistics processes across the organization. You are a hands-on, curious learner who thrives in a collaborative environment and is eager to build expertise in AI and automation within a supply chain context. Assist in designing, building, and prototyping AI agent workflows for supply chain and logistics use cases under the direction of senior team members Help translate business requirements into functional components, contributing to proof-of-concept development and iterative prototyping Support the application of LLMs, OCR, and AI techniques for document processing, data extraction, and basic automation tasks Support the integration of AI agents with logistics systems such as OTM/GTM, visibility platforms, and other operational tools Assist in developing, testing, and maintaining integrations and automation scripts across connected systems Help troubleshoot and resolve basic technical issues with guidance from senior engineers Contribute to building and maintaining visibility tools for tracking and monitoring logistics operations Assist operations teams by supporting the deployment and testing of AI-driven solutions Monitor workflow performance and escalate issues or anomalies to senior team members in a timely manner Collaborate with supply chain, logistics COE, IT, and business teams to understand requirements and gather feedback Participate in team discussions, prototype reviews, and knowledge-sharing sessions to support continuous improvement Document workflows, test results, and solution details to support team knowledge and institutional memory Actively build foundational knowledge of AI, agentic workflows, and automation technologies relevant to logistics Learn relevant supply chain and logistics systems, processes, and operational context Take initiative to upskill in both technical and domain areas with support from mentors and project leads Qualifications REQUIRED: Currently pursuing or recently completed Master’s degree in computer science, Information Systems, Industrial Engineering, Supply Chain Management , or equivalent experience Basic programming skills in P ython or similar scripting language, with ability to write and modify automation scripts Foundational understanding of AI/ML concepts, including exposure to LLMs, OCR, or data processing techniques Familiarity with supply chain or logistics operations concepts (e.g., transportation management, warehouse operations, order fulfillment) Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint) for documentation and reporting PREFERRED: Exposure to logistics systems such as Oracle OTM/GTM, SAP, or similar ERP/TMS platforms Hands-on experience with AI/automation tools, low-code workflow platforms, or API