ONA AI Agent Intern, Logistics Focus

Oracle

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Work type
On-site
Location
Austin, TX
Employment
Intern
Posted
142 days ago
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Confirmed live today

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$125k $242k
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Listed pay typically runs $102,300–$209,500 across 512 roles with salary data.

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TL;DR · ONA AI Agent Intern, Logistics Focus

JOB TITLE: ONA AI Agent Intern (Logistics Focus) - OVIP The ONA AI Agent Intern (Logistics Focus) - OVIP joins the Supply Chain Applications Solution Engineering organization to develop next-generation AI agents for supply chain logistics. This role involves designing, prototyping, and demonstrating autonomous capabilities across Oracle Transportation Management, Global Trade Management, Warehouse Management, Inventory, and SCM Analytics. You will build proof-of-concepts, RAG pipelines, and demo assets to solve complex problems like shipment risk detection, trade compliance, and warehouse task optimization. Key technologies include Oracle AI Services, OCI Generative AI, Vector Store, Python, SQL, and APIs. The work focuses on creating an autonomous, agentic supply chain by integrating artificial intelligence with logistics execution to improve resilience and risk management for global organizations.

What you'll do

  • Design and build AI Agents using Oracle AI Services, OCI Generative AI, and Fusion SCM data.
  • Prototype agent workflows for logistics scenarios like shipment risk detection and warehouse task optimization.
  • Support the development of RAG pipelines using Oracle’s Agent Studio and Vector Store.
  • Conduct data exploration and create sample datasets for testing AI agents.
  • Build and maintain demo assets for OTM, GTM, WMS, Inventory, and SCM Analytics.
  • Create reference architectures, diagrams, and demo scripts for interactive logistics scenarios.
  • Evaluate logistics AI use cases and conduct analysis across leading supply chain platforms.
  • Document best practices for designing AI Agents within Oracle SCM.

What we're looking for

  • Must be pursuing a degree in Supply Chain, Computer Science, Industrial Engineering, Data Science, Operations Research, or a related field.
  • Must have a strong interest in modern logistics, including transportation, warehousing, global trade, and inventory.
  • Must have a foundational understanding of AI concepts such as LLMs, RAG, embeddings, agents, and automation.
  • Must possess an analytical mindset with strong problem-solving skills.
  • Must have excellent written and verbal communication skills.
  • Must be able to read, write, and speak English.
  • Knowledge of Oracle Supply Chain Cloud or similar platforms like SAP, Manhattan, or Blue Yonder (preferred).
  • Familiarity with Python, SQL, APIs, basic scripting, analytics tools, or machine learning coursework (preferred).

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